Federal National Mortgage Association Fannie Mae (FNMA) Other Non-Interest Expense (2009 - 2026)
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Analysis
Federal National Mortgage Association Fannie Mae (FNMA) Other Non-Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Bn |
| Mar 31, 2026 | 1.44 Bn |
| Dec 31, 2025 | 1.56 Bn |
| Sep 30, 2025 | 1.33 Bn |
| Jun 30, 2025 | 1.49 Bn |
| Mar 31, 2025 | 1.61 Bn |
| Dec 31, 2024 | 1.62 Bn |
| Sep 30, 2024 | 570.00 Mn |
| Jun 30, 2024 | 579.00 Mn |
| Mar 31, 2024 | 526.00 Mn |
| Dec 31, 2023 | -13.00 Mn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 998.00 Mn |
| Mar 31, 2023 | 542.00 Mn |
| Dec 31, 2022 | -232.00 Mn |
| Sep 30, 2022 | 410.00 Mn |
| Jun 30, 2022 | 885.00 Mn |
| Mar 31, 2022 | 623.00 Mn |
| Dec 31, 2021 | 821.00 Mn |
| Sep 30, 2021 | 833.00 Mn |
API Access
Federal National Mortgage Association Fannie Mae Other Non-Interest Expense 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=other-non-interest-expense&ticker=FNMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();