Jpmorgan Chase (JPM) Price to FCF (2009 - 2023)
Jpmorgan Chase's (JPM) Price to FCF was 37.76 for Q4 2023, up 924.9% from 3.68 a year earlier and up 386.1% from the prior quarter.
Analysis
Jpmorgan Chase (JPM) Price to FCF (2009 - 2023) Analysis & Trends
Dating back to Q2 2009, Jpmorgan Chase's Price to FCF record includes 45 quarters.
- By year, Price to FCF came in at 3.68 in FY2022 (-38.5%), 5.99 in FY2021 and 105.06 in FY2019 (+413.0%).
- The Q4 2023 figure ranks as the highest quarterly Price to FCF since Q4 2019.
- Year over year, Price to FCF gained in three of the last four quarters, with growth averaging 279.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | American Express | 203.91 Bn | -4.26 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 37.76 |
| Sep 30, 2023 | 7.77 |
| Mar 31, 2023 | 10.08 |
| Dec 31, 2022 | 3.68 |
| Sep 30, 2022 | 3.37 |
| Jun 30, 2022 | 2.49 |
| Mar 31, 2022 | 5.00 |
| Dec 31, 2021 | 5.99 |
| Sep 30, 2020 | 9.48 |
| Jun 30, 2020 | 4.65 |
| Dec 31, 2019 | 105.06 |
| Dec 31, 2018 | 20.48 |
| Sep 30, 2018 | 14.26 |
| Jun 30, 2018 | 42.53 |
| Sep 30, 2017 | 19.25 |
| Jun 30, 2017 | 12.23 |
| Mar 31, 2017 | 15.07 |
| Dec 31, 2016 | 14.08 |
| Jun 30, 2016 | 12.21 |
| Mar 31, 2016 | 5.82 |
API Access
Jpmorgan Chase Price to FCF API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-fcf&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "ticker": "JPM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-fcf&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();