Federal National Mortgage Association Fannie Mae (FNMA) Non-Interest Income - Total (2009 - 2026)
Analysis
Federal National Mortgage Association Fannie Mae (FNMA) Non-Interest Income - Total (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.00 Mn |
| Mar 31, 2026 | -74.00 Mn |
| Dec 31, 2025 | -80.00 Mn |
| Sep 30, 2025 | 135.00 Mn |
| Jun 30, 2025 | 278.00 Mn |
| Mar 31, 2025 | 206.00 Mn |
| Dec 31, 2024 | 889.00 Mn |
| Sep 30, 2024 | 130.00 Mn |
| Jun 30, 2024 | 453.00 Mn |
| Mar 31, 2024 | 574.00 Mn |
| Dec 31, 2023 | -264.00 Mn |
| Sep 30, 2023 | 879.00 Mn |
| Jun 30, 2023 | 499.00 Mn |
| Mar 31, 2023 | 200.00 Mn |
| Dec 31, 2022 | 52.00 Mn |
| Sep 30, 2022 | 225.00 Mn |
| Jun 30, 2022 | 561.00 Mn |
| Mar 31, 2022 | 461.00 Mn |
| Dec 31, 2021 | 312.00 Mn |
| Sep 30, 2021 | 337.00 Mn |
API Access
Federal National Mortgage Association Fannie Mae Non-Interest Income - Total 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=non-interest-income-total&ticker=FNMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-interest-income-total", "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=non-interest-income-total&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();