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August 2019 List of All S&P 500 Stocks & Companies


Updated August 4th, 2019 by Ben Reynolds
Spreadsheet and table data updated weekly on Wednesdays

The S&P 500 Index is the most widely used gauge of performance for large-capitalization U.S. companies.  The S&P 500 is often used as a proxy for ‘the market’.

The index contains the 500 largest stocks by market capitalization (that also meet other criteria).

 

The spreadsheet available for download above contains numerous important investing metrics, including:

  • Dividend yield
  • Price-to-earnings ratio
  • Market Capitalization

You can view a preview of the spreadsheet below:

Ticker Price Dividend Yield Market Cap ($M) P/E Ratio Payout Ratio
A 70.58 0.9 22,166.9 20.1 17.9
AAL 30.58 1.3 13,674.3 9.2 12.0
AAP 152.00 0.2 10,889.7 25.9 4.1
AAPL 218.25 1.4 960,613.5 18.4 26.2
ABBV 67.03 6.2 99,316.9
ABC 86.75 1.8 18,646.9 20.0 35.2
ABMD 283.65 0.0 12,644.4 49.1 0.0
ABT 87.88 1.4 155,794.7
ACN 195.47 1.4 124,656.6 26.7 38.0
ADBE 304.03 0.0 147,398.7 56.0 0.0
ADI 119.85 1.6 44,726.3 28.4 46.5
ADM 41.02 3.3 22,938.8 14.0 46.4
ADP 168.48 1.8 71,812.6 38.0 68.2
ADS 158.05 1.5 8,061.4 9.8 14.8
ADSK 159.40 0.0 35,202.9 -1,518.0 0.0
AEE 76.45 2.4 18,716.9 21.9 53.5
AEP 88.80 3.0 43,809.5 22.2 65.7
AES 17.08 3.1 11,382.9 16.9 52.4
AFL 52.89 2.0 39,151.5 12.8 25.7
AGN 161.05 1.8 52,737.0 -7.5 -13.5
AIG 56.71 2.3 48,984.5 -177.2 -402.7
AIV 50.01 3.2 7,445.9 26.3 82.9
AIZ 114.15 2.0 7,045.6 24.1 48.7
AJG 92.08 1.8 17,083.1 24.6 45.1
AKAM 89.97 0.0 13,789.1 34.8 0.0
ALB 73.62 1.9 7,798.4 11.4 21.3
ALGN 210.40 0.0 16,261.0 40.3 0.0
ALK 64.37 2.1 7,894.9 15.7 32.9
ALL 108.02 1.8 33,920.3 15.2 28.0
ALLE 104.76 0.9 9,736.3 22.6 20.8
ALXN 115.21 0.0 25,662.8 19.3 0.0
AMAT 49.93 1.6 47,488.6 13.9 22.1
AMD 31.39 0.0 36,633.8 169.4 0.0
AME 90.94 0.6 20,676.6 25.3 15.6
AMG 85.57 1.4 4,443.0 -37.4 -53.5
AMGN 183.51 3.1 107,623.2 14.4 45.3
AMP 147.08 2.5 19,888.8 10.7 26.4
AMT 211.63 1.6 92,228.1 69.4 109.7
AMZN 1,891.20 0.0 939,119.3 76.7 0.0
ANET 277.92 0.0 21,016.2 54.9 0.0
ANSS 207.26 0.0 17,440.2 41.3 0.0
ANTM 300.95 1.0 76,653.0 19.0 19.7
AON 191.65 0.8 45,557.6 34.3 29.1
AOS 45.64 1.9 6,392.1
APA 24.36 4.1 9,059.7 -60.1 -249.6
APC 73.82 1.6 37,197.8 -61.8 -96.0
APD 230.60 1.9 51,080.5 29.7 57.9
APH 94.06 1.0 28,186.2 23.2 22.5
APTV 85.91 1.1 21,031.6 22.6 24.4
ARE 147.32 0.0 16,806.5 42.0 0.0
ARNC 25.20 1.0 11,086.7 17.7 16.9
ATVI 49.83 0.7 36,990.5 21.6 15.2
AVB 211.88 2.8 29,394.5 29.3 82.3
AVGO 296.32 2.9 119,247.0 35.3 103.6
AVY 116.05 1.8 9,799.9 41.5 76.4
AWK 115.25 1.6 20,779.5 36.3 58.8
AXP 125.78 1.2 104,928.9 15.5 19.2
AZO 1,134.08 0.0 28,066.1 19.9 0.0
BA 345.90 2.2 195,519.2 39.8 86.3
BAC 30.75 1.9 287,533.4 10.8 21.0
BAX 85.38 0.9 43,956.1 28.2 25.9
BBT 51.32 3.2 39,365.3 12.5 39.6
BBY 77.07 2.4 20,562.3 13.7 33.0
BDX 255.67 1.2 69,598.9 73.9 87.1
BEN 33.61 3.0 17,039.1 12.4 37.1
BF.B 54.81 1.2 26,311.8 31.4 37.0
BHF 39.18 0.0 4,544.4 24.3 0.0
BHGE 25.90 2.9 25,432.1 80.9 237.8
BIIB 239.87 0.0 44,545.8 8.9 0.0
BK 46.77 2.4 44,342.8 12.1 28.8
BKNG 1,895.13 0.0 82,971.1 21.4 0.0
BLK 474.84 2.7 74,329.1 17.9 48.1
BLL 72.15 0.5 24,362.7 55.1 30.3
BMY 44.91 3.7 72,889.9 11.8 43.1
BR 129.00 1.4 15,242.1 29.7 41.2
BRK.B 208.35 0.0 509,703.9 19.1 0.0
BSX 42.86 0.0 59,603.3 42.4 0.0
BWA 37.98 1.8 7,864.1 10.3 18.3
BXP 134.86 2.9 20,552.7 39.4 112.7
C 71.22 2.5 162,000.1 9.9 24.8
CAG 29.21 2.9 14,146.4 19.2 56.1
CAH 45.57 4.1 13,833.0 399.7 1,641.0
CAT 133.37 2.6 76,030.9 12.3 31.8
CB 153.69 1.9 70,196.2
CBOE 110.38 1.1 12,350.7 30.8 33.5
CBRE 53.18 0.0 17,886.6 16.7 0.0
CBS 51.74 1.4 19,692.6 6.4 8.8
CCI 133.35 3.3 55,194.9 76.8 256.2
CCL 47.39 4.2 24,962.2 11.1 46.9
CDNS 75.59 0.0 21,162.8 48.6 0.0
CE 112.32 2.0 13,923.2 14.0 27.8
CELG 92.70 0.0 65,314.1 12.4 0.0
CERN 72.75 0.2 23,430.6 40.0 9.8
CF 49.71 2.4 10,996.4 36.1 87.0
CFG 37.35 3.1 17,235.5 10.0 31.2
CHD 77.27 1.1 18,867.8 32.3 37.1
CHRW 82.76 2.3 11,576.4 16.4 38.0
CHTR 389.02 0.0 87,386.4 64.9 0.0
CI 170.20 0.0 65,361.6 16.0 0.4
CINF 107.80 2.1 17,270.4 14.4 29.6
CL 72.97 2.3 64,127.4 27.7 62.7
CLX 165.45 2.3 21,037.4 26.7 62.1
CMA 72.68 3.5 10,969.6 9.2 32.0
CMCSA 43.66 1.8 200,342.9 16.4 29.8
CME 194.44 1.4 70,632.0 36.2 52.3
CMG 792.38 0.0 22,323.9 88.2 0.0
CMI 165.40 2.8 26,013.0 10.1 27.8
CMS 58.80 2.5 16,618.6 28.5 72.1
CNC 53.42 0.0 22,251.9 17.3 0.0
CNP 28.83 3.9 14,482.7 45.1 175.0
COF 92.89 1.8 42,896.1 8.0 14.0
COG 19.04 1.5 8,087.5 9.7 14.5
COO 338.30 0.0 16,879.9 39.0 0.7
COP 59.19 2.0 67,257.0 9.5 19.1
COST 279.19 0.8 122,921.0 34.0 28.7
COTY 11.13 4.5 8,408.1 -7.1 -31.9
CPB 41.60 3.4 12,545.9 34.8 117.1
CPRI 35.65 0.0 5,408.1 9.8 0.0
CPRT 78.12 0.0 17,829.6 32.9 0.0
CRM 157.60 0.0 122,252.7 103.9 0.0
CSCO 56.75 2.4 241,732.8 19.4 46.1
CSX 70.86 1.3 56,039.9 17.0 22.2
CTAS 262.62 0.8 26,938.7 31.7 24.8
CTL 12.26 15.4 13,203.7 -1.6 -25.2
CTSH 65.90 1.2 37,191.3 18.9 23.1
CTXS 95.24 1.1 12,524.1 24.0 26.5
CVS 56.06 3.5 73,437.6 -127.4 -450.7
CVX 124.05 3.7 236,856.5 17.0 62.2
CXO 98.66 0.1 19,644.2 25.0 3.2
D 74.23 4.6 60,201.4 35.2 160.5
DAL 61.52 2.2 40,722.1 9.1 20.4
DE 168.97 1.7 53,898.8 16.3 27.7
DFS 90.41 1.8 29,475.5 10.6 18.6
DG 134.35 0.9 34,666.9 21.9 19.4
DGX 103.04 2.0 13,958.5 19.2 38.6
DHI 46.64 1.2 17,360.2 11.1 13.7
DHR 142.28 0.5 102,368.4 41.1 19.0
DIS 143.96 1.2 260,830.5 16.1 19.1
DISCA 30.63 0.0 16,282.9 22.3 0.0
DISCK 28.52 0.0 15,154.3 20.8 0.0
DISH 34.63 0.0 16,425.2 11.4 0.0
DLR 114.88 3.7 23,744.3 96.2 352.8
DLTR 102.32 0.0 24,111.9 -16.4 0.0
DOV 97.10 2.0 14,236.9 23.5 46.1
DRE 33.67 2.5 12,211.6 34.3 84.5
DRI 122.49 2.4 15,345.6 21.2 51.0
DTE 127.67 0.0 23,442.0 21.0 0.0
DUK 87.37 4.2 63,878.8 21.2 88.9
DVA 60.02 0.0 9,631.6 81.1 0.0
DVN 27.48 1.2 11,160.6 4.5 5.5
DWDP 30.52 5.0 68,559.8 21.5 107.0
DXC 56.41 1.3 15,109.8 12.4 16.7
EA 95.44 0.0 26,248.5 13.3 0.0
EBAY 41.41 0.7 34,708.1 16.0 10.8
ECL 205.21 0.9 59,285.6 39.5 34.4
ED 85.52 3.4 27,934.5 19.6 66.1
EFX 140.51 1.1 17,093.0 -39.9 -44.0
EIX 73.02 3.5 22,894.7 -95.9 -333.4
EL 186.80 0.9 68,386.7 37.5 32.1
EMN 76.29 3.2 10,509.3
EMR 65.99 2.9 41,357.8 17.8 51.6
EOG 87.39 1.0 49,942.8 14.8 14.5
EQIX 501.95 1.9 41,935.8 96.2 179.3
EQR 80.28 2.8 29,472.4 47.3 131.6
ES 76.61 2.7 24,573.9 22.7 60.8
ESS 307.04 2.5 20,157.5 49.4 122.7
ETFC 48.68 0.9 11,751.1 11.9 10.2
ETN 82.55 3.3 34,910.4 16.0 52.7
ETR 105.26 3.5 19,729.5 19.8 68.7
EVRG 60.89 3.0 14,846.0 26.0 77.3
EW 216.48 0.0 45,102.2 62.4 0.0
EXC 45.72 3.0 44,712.5 19.0 57.6
EXPD 76.83 1.2 13,114.7 21.4 25.2
EXPE 134.22 0.9 20,237.9 32.3 30.6
EXR 113.33 3.1 14,262.1 33.4 103.8
F 9.56 6.3 38,104.4 17.3 108.9
FANG 103.61 0.5 16,933.2 16.2 7.9
FAST 31.48 2.6 18,126.1 23.6 61.9
FB 196.68 0.0 562,099.9 33.1 0.0
FBHS 55.70 1.5 7,829.1 19.9 29.1
FCX 11.38 1.7 16,638.8 25.5 44.4
FDX 172.46 1.5 44,960.7 86.4 130.3
FE 44.32 3.3 23,667.5 21.3 70.9
FFIV 149.46 0.0 9,012.1 19.3 0.0
FIS 134.93 1.0 43,293.9 54.2 53.1
FISV 105.95 0.0 40,833.8 43.7 0.0
FITB 29.68 2.9 21,875.1 10.0 28.7
FL 41.38 3.4 4,609.6 8.6 28.9
FLIR 50.61 1.3 6,841.5 24.7 32.3
FLR 33.28 2.5 4,620.4 25.5 64.8
FLS 50.84 1.5 6,739.2 41.1 60.8
FLT 287.08 0.0 24,453.8 31.2 0.0
FMC 86.00 1.6 11,164.6 22.1 35.6
FOX 37.54 0.0 23,486.9
FOXA 37.48 0.0 23,468.3 14.4 0.0
FRC 99.11 0.7 16,787.4 19.7 14.3
FRT 132.33 3.1 9,936.7 43.6 134.7
FTI 27.86 1.9 12,527.8 -6.3 -11.7
FTNT 82.38 0.0 14,077.5 40.1 0.0
FTV 76.31 0.4 25,768.9 9.8 3.6
GD 188.00 2.1 54,626.2 16.5 34.1
GE 10.07 2.5 91,742.9 -4.2 -10.5
GILD 65.95 3.6 85,309.0 14.2 50.8
GIS 53.54 3.7 32,313.2 18.4 67.1
GLW 31.00 2.4 24,641.3 17.4 42.1
GM 40.40 3.8 57,345.5 6.3 23.8
GOOG 1,226.25 0.0 849,538.2
GOOGL 1,227.36 0.0 851,521.3 24.6 0.0
GPC 98.04 3.0 14,305.4 18.1 54.9
GPN 169.33 0.0 26,221.6 55.0 1.3
GPS 19.55 5.0 7,332.7 7.0 35.1
GRMN 79.35 2.8 14,542.3 21.2 58.7
GS 221.21 1.5 80,996.8 9.2 13.5
GT 13.80 4.5 3,236.7 7.1 31.8
GWW 296.39 1.9 16,192.3 20.1 37.4
HAL 23.12 3.1 20,321.6 15.2 47.2
HAS 122.87 2.1 15,653.7 49.9 105.1
HBAN 14.29 3.9 14,986.4 11.1 43.2
HBI 15.80 3.8 5,743.8 10.4 39.3
HCA 134.75 1.1 45,458.4
HCP 32.15 4.6 15,415.0 14.1 64.6
HD 217.24 2.0 239,159.0 21.8 44.6
HES 65.76 1.6 18,813.2 -106.1 -171.1
HFC 50.21 2.6 8,553.6 8.1 21.3
HIG 57.87 2.0 20,883.8 12.3 24.5
HII 233.83 1.4 9,687.4 12.6 17.1
HLT 97.27 0.6 27,913.9 35.4 21.8
HOG 35.45 4.2 5,599.4 13.0 55.1
HOLX 51.42 0.0 13,804.6 -1,018.1 0.0
HON 173.22 1.8 125,129.6 18.1 33.4
HP 49.62 0.0 5,407.1 -72.6 0.0
HPE 14.56 3.1 19,565.0 67.2 207.1
HPQ 21.44 2.8 32,445.5 8.6 23.8
HRB 27.76 3.6 5,626.6 13.1 47.1
HRL 41.51 1.9 22,224.0 22.2 42.4
HRS 189.13 1.4 22,341.2 24.9 34.6
HSIC 68.21 0.0 10,268.2 20.5 0.0
HST 17.61 4.5 13,099.0 12.8 57.8
HSY 152.50 1.9 31,910.5 25.6 48.5
HUM 297.89 0.7 38,420.2 23.2 16.7
IBM 149.83 4.2 132,792.5 15.4 65.1
ICE 88.07 1.1 49,546.8 25.1 28.4
IDXX 285.70 0.0 24,602.0 63.5 0.0
IFF 145.31 0.0 15,555.5 41.6 0.0
ILMN 302.76 0.0 44,094.1 47.5 0.0
INCY 85.45 0.0 18,319.5 59.7 0.0
INFO 64.92 0.0 26,160.8 57.7 0.0
INTC 51.45 2.4 229,031.0 11.8 28.1
INTU 280.94 0.6 72,489.5 44.2 28.5
IP 44.42 4.4 17,903.9 11.2 49.0
IPG 23.08 3.9 8,886.8 13.7 53.0
IPGP 135.01 0.0 7,292.4 23.7 0.0
IQV 160.50 0.0 31,447.0 128.8 0.0
IR 125.01 1.7 30,530.6
IRM 29.72 8.0 8,569.1 29.0 233.0
ISRG 528.70 0.0 61,273.1 50.1 0.0
IT 142.33 0.0 12,462.3 58.4 0.0
ITW 155.41 2.6 50,785.1 20.8 53.3
IVZ 19.14 6.2 9,351.0 13.1 82.1
JBHT 102.72 1.0 10,958.7 23.6 23.0
JCI 42.72 2.5 37,063.3 16.6 41.9
JEC 83.64 0.8 11,507.9 38.4 29.2
JEF 21.46 2.0 6,453.1 56.3 111.2
JKHY 140.77 1.1 10,740.6 36.7 39.8
JNJ 131.13 2.8 348,581.6 21.5 59.3
JNPR 27.12 2.7 9,314.0 19.0 52.0
JPM 115.28 2.8 374,970.5 11.7 32.5
JWN 31.23 4.8 4,746.3 10.1 48.5
K 58.56 3.8 19,939.5 17.2 65.3
KEY 18.31 3.7 18,597.7 10.9 39.8
KEYS 90.15 0.0 17,163.1 61.9 0.0
KHC 32.11 7.9 38,842.9 -3.8 -30.0
KIM 19.32 5.8 8,176.0 24.0 138.8
KLAC 138.06 2.1 22,626.8 16.3 35.0
KMB 137.18 2.9 47,602.9 26.3 77.1
KMI 20.75 4.1 46,838.0 20.8 85.4
KMX 88.23 0.0 14,538.5 17.3 0.0
KO 53.05 2.9 229,708.3 32.3 94.9
KR 21.25 0.0 17,118.3 9.2 0.0
KSS 54.42 4.7 8,636.0 11.3 53.0
KSU 124.03 1.2 12,547.2 22.1 25.5
L 54.05 0.5 16,363.3 23.1 10.8
LB 25.85 8.2 7,115.8 11.2 91.1
LEG 40.10 3.8 5,295.4 18.5 70.8
LEN 47.58 0.3 15,608.0 8.1 2.7
LH 168.65 0.0 16,806.1 19.8 0.0
LIN 194.08 1.7 106,653.5 18.1 30.9
LKQ 26.94 0.0 8,330.8 20.1 0.0
LLL 245.17 1.3 19,479.0 24.6 32.6
LLY 110.55 2.2 105,519.6
LMT 365.42 2.3 103,354.8 17.7 41.5
LNC 65.85 2.1 13,389.0 9.2 19.5
LNT 49.89 2.7 11,737.0 22.7 62.2
LOW 103.07 1.9 81,243.2 35.2 65.2
LRCX 210.70 2.1 31,682.6 12.3 25.7
LUV 52.15 1.3 28,538.1 12.1 15.2
LW 67.00 1.2 9,865.5 21.0 24.3
LYB 83.26 4.7 28,291.2 7.5 35.6
M 22.72 6.7 6,958.9 6.3 42.5
MA 277.16 0.4 282,084.8 42.5 18.9
MAA 119.21 3.2 13,590.6 58.0 183.3
MAC 33.11 8.9 5,075.9 46.3 412.5
MAR 139.81 1.2 46,888.2 25.7 29.9
MAS 41.24 1.2 12,029.8 16.8 19.4
MAT 14.59 0.0 4,999.9 -18.7 0.0
MCD 211.05 2.1 162,133.5
MCHP 95.87 1.5 23,087.0 63.5 95.4
MCK 140.38 1.1 26,562.5 1,559.7 1,652.5
MCO 213.73 0.9 38,344.7 31.2 28.1
MDLZ 54.14 1.9 78,950.5 26.6 50.4
MDT 103.75 1.9 139,145.4 30.2 58.1
MET 49.82 3.4 47,528.0 9.6 32.3
MGM 30.00 1.6 16,079.5 86.3 141.3
MHK 125.55 0.0 9,070.7 11.9 0.0
MKC 160.62 1.4 21,383.1 30.9 41.8
MLM 251.34 0.8 15,391.1 31.1 24.3
MMC 99.01 1.7 51,364.5 33.9 57.3
MMM 176.70 3.2 102,186.8 20.9 66.0
MNST 65.05 0.0 35,609.7 34.8 0.0
MO 47.79 6.6 90,602.9 14.2 93.6
MOS 25.12 0.4 9,741.1 17.3 6.8
MPC 56.65 3.3 37,803.6 10.7 35.7
MRK 83.95 2.6 214,390.3
MRO 14.24 1.4 11,557.2 13.0 18.4
MS 44.60 2.7 74,107.5 9.6 25.7
MSCI 228.76 0.9 19,296.7 34.8 32.4
MSFT 139.43 1.3 1,072,695.1 27.3 35.8
MSI 167.45 1.3 27,354.5 27.3 35.8
MTB 164.04 2.4 22,075.4 11.7 28.5
MTD 763.39 0.0 18,849.5 36.0 0.0
MU 45.76 0.0 52,386.3 5.2 0.0
MXIM 61.75 2.9 17,470.6 20.5 58.8
MYL 20.63 0.0 11,055.1 343.8 0.0
NBL 22.36 2.0 10,568.9 -11.4 -22.8
NCLH 48.94 0.0 10,446.7 11.2 0.0
NDAQ 96.54 1.8 16,040.2 29.5 54.6
NEE 208.62 2.3 100,319.4 29.8 67.1
NEM 36.93 1.5 30,934.6 -271.5 -403.0
NFLX 329.60 0.0 142,703.6 124.8 0.0
NFX
NI 29.81 2.7 11,036.4 -77.1 -204.6
NKE 86.33 1.0 136,630.2 33.7 33.3
NKTR 28.76 0.0 5,103.7 7.4 0.0
NLSN 23.33 6.1 8,140.8 -11.2 -68.2
NOC 352.00 1.4 59,711.7 17.1 23.9
NOV 24.46 0.9 8,883.9 -1.7 -1.5
NRG 34.36 0.3 9,294.3 24.1 8.3
NSC 192.52 1.7 50,708.5 18.5 32.0
NTAP 59.58 2.7 14,278.9 12.9 34.6
NTRS 98.41 2.3 21,293.5 14.8 34.4
NUE 56.03 2.8 17,052.6 7.9 22.1
NVDA 172.47 0.4 106,849.1 31.9 11.3
NWL 14.24 6.5 5,986.9 -0.8 -5.5
NWS 13.65 1.5 8,005.0 -47.8 -69.9
NWSA 13.33 1.5 7,829.5 -46.7 -69.8
O 69.90 3.8 22,159.0 52.2 198.1
OKE 69.74 5.0 27,741.3 23.5 116.5
OMC 80.49 3.1 17,636.8 13.5 41.5
ORCL 56.85 1.4 191,776.3 18.4 25.9
ORLY 383.64 0.0 29,399.1 22.6 0.0
OXY 51.49 5.9 39,265.9 9.7 57.4
PAYX 85.10 2.7 30,954.1 29.5 78.9
PBCT 16.40 4.2 6,631.7 12.5 52.8
PCAR 70.82 1.7 24,576.9 10.7 18.1
PEG 57.96 3.2 29,259.3 20.0 63.4
PEP 129.85 2.9 182,433.2 14.3 40.9
PFE 39.49 3.7 215,354.7 17.7 64.9
PFG 58.95 3.6 16,557.2 10.6 37.9
PG 119.77 2.4 302,028.0 82.0 197.4
PGR 81.46 3.2 47,142.7
PH 177.41 1.7 22,680.8 16.0 27.5
PHM 31.70 1.3 8,802.4 9.6 12.5
PKG 102.10 3.1 9,736.7 12.2 37.4
PKI 87.13 0.3 9,708.7
PLD 81.92 2.5 51,758.9 30.2 74.5
PM 85.15 5.3 134,269.0 16.9 89.5
PNC 141.48 0.0 63,438.2
PNR 38.95 1.8 6,543.8 18.2 33.2
PNW 92.09 3.1 10,321.6 19.6 61.2
PPG 118.87 1.6 28,109.4 23.3 37.6
PPL 29.85 5.5 21,450.2 11.5 63.5
PRGO 54.18 1.4 7,376.2 64.7 90.6
PRU 102.07 3.6 41,550.0 11.7 42.4
PSA 245.97 3.3 42,426.3 29.3 96.5
PSX 103.23 3.2 46,520.9 8.9 28.3
PVH 88.48 0.2 6,673.3 10.4 1.7
PWR 37.89 0.2 5,403.3 15.1 3.2
PXD 138.53 0.2 23,224.0 20.6 4.8
PYPL 111.10 0.0 131,834.1 51.9 0.0
QCOM 75.12 3.3 90,946.5 39.5 131.1
QRVO 74.99 0.0 8,911.8 69.0 0.0
RCL 115.32 2.4 24,307.0 13.0 31.5
RE 249.07 2.2 10,252.3 19.6 42.8
REG 67.00 3.4 11,208.0 39.9 134.1
REGN 311.78 0.0 34,111.8 13.9 0.0
RF 15.97 3.5 16,114.2 11.0 38.6
RHI 61.42 1.9 7,254.2 16.0 30.8
RHT 187.71 0.0 33,429.8 71.9 0.0
RJF 80.98 1.6 11,424.7 11.2 18.1
RL 104.34 2.4 8,334.6 19.0 45.5
RMD 130.46 1.1 18,672.6 46.2 52.5
ROK 162.98 2.3 19,352.0 18.9 43.7
ROL 34.20 1.2 11,137.8 49.5 57.8
ROP 363.28 0.5 38,093.0 33.5 16.4
ROST 106.85 0.9 38,781.8 24.6 21.5
RSG 89.15 1.7 28,694.4 27.4 46.0
RTN 183.93 1.9 51,812.9 16.9 32.9
SBAC 246.75 0.0 28,134.9 214.6 0.0
SBUX 96.10 1.5 117,062.5
SCHW 42.92 1.4 57,432.1 16.0 22.3
SEE 42.20 1.5 6,625.2 15.7 23.6
SHW 515.98 0.8 47,513.7 40.7 31.4
SIVB 229.76 0.0 11,902.1 10.5 0.0
SJM 112.97 3.0 12,901.2 25.0 75.1
SLB 40.04 5.1 54,698.0 26.5 134.1
SLG 82.02 4.1 7,133.9 29.6 121.1
SNA 155.20 2.4 8,602.3 12.4 29.2
SNPS 135.48 0.0 20,291.8 33.4 0.0
SO 55.86 4.3 57,547.5 17.1 74.2
SPG 161.59 5.0 106,502.8 22.6 112.9
SPGI 244.36 0.9 59,534.4 32.5 27.8
SRE 136.39 2.7 37,449.1 37.4 100.1
STI 66.12 3.0 29,356.8 11.5 34.9
STT 59.07 3.2 21,937.5 10.6 33.9
STX 46.85 5.3 13,133.4 9.0 47.6
STZ 198.33 1.5 38,496.8 15.2 22.5
SWK 149.58 0.0 22,975.4 31.3 0.0
SWKS 87.04 1.7 15,153.9 14.5 24.0
SYF 36.15 2.3 24,009.9 7.5 17.4
SYK 212.78 1.0 79,699.0 22.4 21.3
SYMC 21.87 1.4 13,542.4 469.3 642.0
SYY 69.14 2.2 35,788.1 22.5 48.5
T 34.31 5.9 249,684.9 14.4 85.5
TAP 52.07 2.9 12,314.6 11.4 32.7
TDG 487.70 0.0 25,873.1 33.2 0.0
TEL 92.88 1.9 31,359.5 9.9 18.9
TFX 345.69 0.4 16,019.1 85.7 33.6
TGT 87.25 2.9 44,511.6 15.1 44.6
TIF 94.80 2.3 11,426.8 20.3 47.6
TJX 55.26 1.5 66,672.6 22.2 33.0
TMK 92.00 0.7 10,083.8 14.3 10.3
TMO 282.51 0.3 113,558.6 32.0 8.1
TPR 30.59 4.4 8,895.6 12.5 55.1
TRIP 44.31 0.0 6,145.1 45.6 0.0
TROW 115.24 2.5 27,174.8 14.3 36.2
TRV 147.12 2.1 38,438.2 14.6 30.9
TSCO 110.20 1.2 13,180.1 24.3 28.5
TSN 79.95 1.8 23,976.4 13.9 24.4
TSS 136.71 0.4 23,881.0 41.5 16.0
TTWO 124.19 0.0 13,943.5 42.2 0.0
TWTR 42.73 0.0 31,513.9 13.9 0.0
TXN 127.27 2.3 120,129.0 22.8 52.0
TXT 49.93 0.2 11,584.4 10.0 1.6
UA 20.40 0.0 9,493.8
UAA 23.14 0.0 10,860.4 122.2 0.0
UAL 93.02 0.0 24,132.6 9.4 0.0
UDR 46.71 2.9 21,703.4 81.4 232.3
UHS 151.06 0.3 13,779.8 17.2 4.5
ULTA 353.98 0.0 20,380.2 30.5 0.0
UNH 255.51 1.5 242,270.9
UNM 32.61 3.2 6,949.7 13.1 41.5
UNP 179.51 1.9 126,322.2 21.2 39.8
UPS 120.29 3.1 102,916.8 21.9 68.4
URI 128.90 0.0 10,027.3 9.5 0.0
USB 57.18 2.6 90,509.8 13.4 34.8
UTX 135.59 2.1 116,741.0 21.9 47.0
V 181.59 0.5 315,675.2 34.8 18.4
VAR 118.46 0.0 10,813.5 32.0 0.0
VFC 86.94 2.3 35,013.4 30.0 67.7
VIAB 30.43 2.6 12,479.2 7.6 19.6
VLO 85.14 4.0 35,377.9 14.0 56.1
VMC 141.52 0.8 18,562.5 33.2 27.9
VNO 64.32 4.0 12,309.3 4.3 17.1
VRSK 152.58 0.3 24,883.8 41.9 13.8
VRSN 214.71 0.0 25,323.3 41.0 0.0
VRTX 169.60 0.0 43,422.8 20.0 0.0
VTR 68.10 4.7 25,224.0 48.8 228.3
VZ 56.04 4.2 234,205.3 14.5 61.2
WAT 216.61 0.0 14,820.4 27.3 0.0
WBA 55.13 3.2 50,034.1 10.8 34.3
WCG 291.13 0.0 14,700.2 27.7 0.0
WDC 55.43 3.5 16,580.8 90.7 320.6
WEC 86.78 2.6 27,335.9 25.2 65.2
WELL 84.25 4.1 33,994.8 89.6 371.5
WFC 48.36 3.6 214,571.6 9.9 35.9
WHR 149.02 3.1 9,576.7 10.4 32.1
WLTW 198.06 1.2 25,522.8 33.6 41.7
WM 117.90 1.7 50,063.6 28.5 47.2
WMB 24.89 5.6 30,318.5 -1,250.8 -6,998.6
WMT 111.56 1.9 319,899.9 38.4 71.6
WRK 36.66 4.8 9,549.1 11.0 52.5
WU 20.98 3.7 9,001.8 11.5 42.4
WY 25.80 5.2 19,435.2 5,608.7 29,236.6
WYNN 131.16 2.2 14,600.0 15.8 35.0
XEC 51.62 1.4 5,179.2 7.8 11.0
XEL 60.29 2.5 31,184.0 24.0 61.2
XLNX 116.16 1.2 30,188.8 31.3 37.9
XOM 75.34 4.4 318,812.6 17.4 75.6
XRAY 54.71 0.6 13,259.5 -11.7 -7.3
XRX 32.16 3.1 7,363.3 14.2 43.3
XYL 81.04 1.1 14,596.2 26.5 28.4
YUM 113.27 1.3 34,648.6 26.1 34.6
ZBH 134.81 0.7 27,989.7 -76.6 -53.8
ZION 44.63 2.6 8,047.0 10.2 26.8
ZTS 115.70 0.5 55,423.6 40.2 20.1
Ticker Price Dividend Yield Market Cap ($M) P/E Ratio Payout Ratio

Table of Contents

While we advise reading this article in its entirety, you can skip to any particular section using the table of contents below:

How To Use The S&P 500 Stocks List To Find Investment Ideas

Having an Excel document containing the financial metrics of every stock within the S&P 500 is very powerful.

This document becomes even more useful when combined with a working knowledge of Microsoft Excel.

With that in mind, this section will provide a tutorial of how to implement a useful screen for finding reasonably priced S&P 500 securities with above-average dividend yields.  We will specifically screen for S&P 500 securities with:

  1. Price-to-earnings ratios of 15 or lower
  2. Dividend yields of 3.0% or higher

For reference, the dividend yield of the S&P 500 is currently below 2%.  This screen will find value securities with solid dividend yields.  The steps below provide a quick walkthrough of how to implement this screen using the Excel Spreadsheet download at the beginning of this article.

Step 1: Download the S&P 500 Stocks List near the beginning of this article.

Step 2: Filter the columns.

Step 3: Filter for stocks with yields of 3%+ and P/E ratios of 15 or less.

The tutorial below walks through steps 2 and 3 for reference.

Yield And PE Screen

The remaining stocks in this spreadsheet are S&P 500 stocks with price-to-earnings ratios below 15 and dividend  yields above 3%. You now have a solid fundamental understanding of how to use the S&P 500 Stocks List to find compelling investment ideas.

If you are looking for other investment ideas from the S&P 500 components, take a look at the following articles:

The remainder of this article will explain how to use the S&P 500 Index as a benchmark for investment performance before directing you to other useful investing resources.

Video: Why the S&P 500 is the Best Benchmark for Large Cap U.S. Equities

In the following video, we discuss why the S&P 500 is our favorite benchmark for large cap U.S. equities.

Index Methodology

The S&P 500 is most well-known for containing the 500 largest companies in the United States when measured by market capitalization.

The Index also has other criteria, including:

  • Universe: All constituents must be U.S. companies.
  • Eligibility Market Cap: Companies with a market capitalization of US$6.1 billion or greater.
  • Public Float: At least 50% of shares outstanding must be available for trading.
  • Financial Viability: Companies must have positive as-reported earnings over the most recent quarter, as well as over the most recent four quarters (summed together).
  • Adequate Liquidity and Reasonable Price: Consists of highly tradable common stocks, with active and deep markets.

S&P 500 Companies by Weight

The S&P 500 constituent companies are listed below, along with their component weights in the Index. Data is as of June 5th, 2019:

June 2019 S&P 500 Weightings

wdt_ID Symbol Name S&P 500 Weight
1 MSFT Microsoft Corp 3.7%
2 AMZN Amazon.com Inc 3.3%
3 AAPL Apple Inc 3.3%
4 GOOGL Alphabet Inc 2.8%
5 GOOG Alphabet Inc 2.8%
6 BRK.B Berkshire Hathaway Inc 1.9%
7 FB Facebook Inc 1.9%
8 V Visa Inc 1.4%
9 JNJ Johnson & Johnson 1.4%
10 JPM JPMorgan Chase & Co 1.4%
Symbol Name S&P 500 Weight

Return to the Table of Contents

The Historical Performance of the S&P 500

The S&P 500’s historical performance over the long-term is often cited as anywhere between 7% and 10% on an annualized basis. The S&P 500 has generated total inflation-adjusted returns (including reinvested dividends) of 6.9% from January of 1871  through June 2019.

Source: DQYDJ

And, the S&P 500’s Sharpe ratio has averaged around 0.33 over the long run.  You can see the Sharpe ratios of individual S&P 500 components here.

Interestingly, the 4 worst total return days for The S&P 500 since 1990 all occurred in 2008:

  1. October 15th, 2008 | 9.0% decline
  2. December 1st, 2008 | 8.9% decline
  3. September 29th, 2008 | 8.8% decline
  4. October 9th, 2008 | 7.6% decline

The 4 best total return days for The S&P 500 since 1990 are shown below as well for balance:

  1. October 13th, 2008 | 11.6% increase
  2. October 28th, 2008 | 10.8% increase
  3. March 23rd, 2009 | 7.1% increase
  4. November 13th, 2008 | 6.9% increase

The data above shows just how volatile the market was during the last half of 2008 and the first quarter of 2009.  The Great Recession was an especially chaotic market period.

The S&P 500 generated mediocre performance in July 2019.  During the month, the S&P 500 ETF (SPY) generated total returns of 0.6%.  This performance comes after a phenomenal June.  In June, the S&P 500 ETF had total returns of 7.0%.  July’s small growth builds on June’s excellent performance.

For 2019 through July, the S&P 500 ETF has generated total returns of 20.1%.  This is already well ahead of average annual returns for the S&P 500, and we are only 7/12 of the way through the year.  We will update this article monthly to continue tracking the S&P 500’s performance.

Index Composition & Characteristics

Understanding the characteristics of the S&P 500 is useful because it allows investors to know the traits of the “average” large capitalization company in the United States. According to the index provider (Standard & Poor’s), the S&P 500 currently has the following characteristics:

  • Number of constituents: 505
  • Mean total market cap: $51.5 billion
  • Largest total market cap: $1,057.9 billion [Microsoft (MSFT)]
  • Smallest total market cap: $2.7 billion
  • Median total market cap: $22.5 billion
  • Weight of top 10 constituents: 21.8%

The top 10 S&P 500 Index constituents by index weight are shown below.

July 2019 S&P 500 Top 10 Constituents

Source: Standard & Poor’s

A sector breakdown of the S&P 500 Index is shown below.

July 2019 S&P 500 Sector Breakdown

Source: Standard & Poor’s

How To Use The S&P 500 As A Benchmark

Investors can gain passive access to a broad basket of S&P 500 stocks by investing in index ETFs that track the benchmark. Accordingly, it is useful to ensure that your portfolio’s performance is comparable to the S&P 500, especially on a risk-adjusted basis.

The easiest way to measure the performance of the S&P 500 Index is by using a free financial tool like Google Finance or Yahoo! Finance. Download historical data of S&P 500 Index levels from these resources, and compare its performance to the performance of your portfolio. If it turns out that the index is trouncing your performance over long periods of time, then changing to a passive investment strategy might be a wise decision.

Final Thoughts

The S&P 500 Stocks List is an excellent place to look for investment ideas. With that said, it is not the only resource that investors can use to find high quality dividend growth stocks.

If you’re looking for dividend stocks with long histories of steadily increasing dividend payments, the following databases contain some of the most high-quality dividend stocks around:

  • The Dividend Aristocrats: dividend stocks with 25+ years of consecutive dividend increases
  • The Dividend Achievers: dividend stocks with 10+ years of consecutive dividend increases
  • The Dividend Kings: considered the “best-of-the-best” when it comes to dividend growth, the exclusive Dividend Kings list contains stocks that have 50+ years of consecutive dividend increases
  • The Blue Chip Stocks List: The combination of our Kings, Achievers, and Aristocrats lists
  • High Dividend Stocks List: 300+ securities with 5%+ Yields

You can also find investment opportunities by looking at our other lists, which include:


Quelle suredividend


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