Federal National Mortgage Association Fannie Mae (FNMA) Selling, General & Administrative (2009 - 2024)
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Analysis
Federal National Mortgage Association Fannie Mae (FNMA) Selling, General & Administrative (2009 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 42.82 Bn | 31.64 Bn | - | 559.00 Mn |
| 2 | Orix | 38.85 Bn | 7.58 Bn | 12.74 Bn | 1.24 Bn |
| 3 | Royalty Pharma | 30.02 Bn | 27.40 Bn | - | 150.10 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.05 Bn | 26.05 Bn | - | - |
| 5 | Synchrony Financial | 23.55 Bn | -44.08 Bn | - | - |
| 6 | Affirm Holdings | 23.27 Bn | 16.32 Bn | - | 140.56 Mn |
| 7 | Royal Gold | 22.53 Bn | 21.71 Bn | 390.45 Mn | 13.45 Mn |
| 8 | Annaly Capital Management | 14.32 Bn | 5.27 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 13.77 Bn | 11.52 Bn | - | - |
| 10 | Federal Home Loan Mortgage | 12.90 Bn | -5.77 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 925.00 Mn |
| Jun 30, 2024 | 939.00 Mn |
| Mar 31, 2024 | 929.00 Mn |
| Dec 31, 2023 | 975.00 Mn |
| Sep 30, 2023 | 897.00 Mn |
| Jun 30, 2023 | 864.00 Mn |
| Mar 31, 2023 | 868.00 Mn |
| Dec 31, 2022 | 856.00 Mn |
| Sep 30, 2022 | 870.00 Mn |
| Jun 30, 2022 | 795.00 Mn |
| Mar 31, 2022 | 808.00 Mn |
| Dec 31, 2021 | 826.00 Mn |
| Sep 30, 2021 | 745.00 Mn |
| Jun 30, 2021 | 746.00 Mn |
| Mar 31, 2021 | 748.00 Mn |
| Dec 31, 2020 | 803.00 Mn |
| Sep 30, 2020 | 762.00 Mn |
| Jun 30, 2020 | 754.00 Mn |
| Mar 31, 2020 | 749.00 Mn |
| Dec 31, 2019 | 786.00 Mn |
API Access
Federal National Mortgage Association Fannie Mae Selling, General & Administrative 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=selling-general-and-administrative&ticker=FNMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "FNMA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();