Federal Home Loan Mortgage (FMCC) Price to Earnings (2012 - 2024)
Federal Home Loan Mortgage's (FMCC) Price to Earnings was 2115.04 for Q4 2024.
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Analysis
Federal Home Loan Mortgage (FMCC) Price to Earnings (2012 - 2024) Analysis & Trends
Dating back to Q3 2012, Federal Home Loan Mortgage's Price to Earnings record includes 22 quarters.
- By year, Price to Earnings came in at 3.31 in FY2022 (-39.7%), 5.49 in FY2021 (-97.5%) and 215.29 in FY2020.
- The Q4 2024 figure ranks as the highest quarterly Price to Earnings in data going back to Q3 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - |
| 10 | Federal Home Loan Mortgage | 13.00 Bn | -5.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 2,115.04 |
| Jun 30, 2023 | 8.91 |
| Mar 31, 2023 | 7.89 |
| Dec 31, 2022 | 3.31 |
| Sep 30, 2022 | 4.32 |
| Jun 30, 2022 | 6.23 |
| Mar 31, 2022 | 11.61 |
| Dec 31, 2021 | 5.49 |
| Sep 30, 2021 | 3.09 |
| Jun 30, 2021 | 5.40 |
| Mar 31, 2021 | 10.47 |
| Dec 31, 2020 | 215.29 |
| Mar 31, 2019 | 20.33 |
| Dec 31, 2018 | 0.95 |
| Sep 30, 2018 | 4.23 |
| Jun 30, 2018 | 5.44 |
| Sep 30, 2017 | 194.04 |
| Jun 30, 2017 | 156.78 |
| Mar 31, 2017 | 18.74 |
| Dec 31, 2016 | 124.69 |
API Access
Federal Home Loan Mortgage Price to Earnings 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-earnings&ticker=FMCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "FMCC", "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-earnings&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();