Federal Home Loan Mortgage (FMCC) Loans (2010 - 2026)
Federal Home Loan Mortgage's (FMCC) quarterly Loans came in at $1.4 billion in Q2 2026, down 78.4% year-over-year from $6.3 billion in Q2 2025, and up 11.1% quarter-over-quarter from $1.2 billion in Q1 2026.
Federal Home Loan Mortgage (FMCC) Loans (2010 - 2026) Analysis & Trends
Federal Home Loan Mortgage (FMCC) has reported Loans for 14 consecutive years, with $1.4 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Loans fell 78.4% year-over-year to $1.4 billion in Q2 2026; TTM through Jun 2026 was $1.4 billion, a 78.4% decrease from a year earlier, with the FY2025 full-year figure at $1.0 billion, down 93.48% from the prior year.
- Loans was $1.4 billion for Q2 2026 at Federal Home Loan Mortgage, up from $1.2 billion in the prior quarter.
- Over five years, Loans peaked at $17.0 billion in Q1 2022 and troughed at $1.0 billion in Q4 2025.
- A 5-year average of $10.0 billion and a median of $12.1 billion in 2022 frame the typical range for Loans.
- Across the five-year window, Loans soared 48.48% in 2023 and plunged 93.48% in 2025, its largest moves.
- Over 5 years, Loans stood at $12.2 billion in 2022, then climbed by 6.1% to $12.9 billion in 2023, then gained by 20.24% to $15.6 billion in 2024, then sank by 93.48% to $1.0 billion in 2025, then jumped by 34.22% to $1.4 billion in 2026.
- The last three Loans figures came in at $1.4 billion (Q2 2026), $1.2 billion (Q1 2026), and $1.0 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 47.84 Bn | 44.74 Bn | - | - |
| 2 | Orix | 44.49 Bn | 44.82 Bn | 4.68 Bn | - |
| 3 | Royalty Pharma | 33.65 Bn | 35.77 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 28.57 Bn | 28.57 Bn | - | - |
| 5 | Affirm Holdings | 24.20 Bn | 22.57 Bn | - | - |
| 6 | Synchrony Financial | 23.63 Bn | 7.43 Bn | - | - |
| 7 | Royal Gold | 21.87 Bn | 21.73 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 16.08 Bn | 13.23 Bn | - | - |
| 9 | Federal Home Loan Mortgage | 14.13 Bn | 9.81 Bn | - | 1.36 Bn |
| 10 | Ares Capital | 13.90 Bn | 13.52 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.36 Bn |
| Mar 31, 2026 | 1.23 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 1.81 Bn |
| Jun 30, 2025 | 6.30 Bn |
| Mar 31, 2025 | 14.41 Bn |
| Dec 31, 2024 | 15.56 Bn |
| Sep 30, 2024 | 11.68 Bn |
| Jun 30, 2024 | 12.35 Bn |
| Mar 31, 2024 | 12.03 Bn |
| Dec 31, 2023 | 12.94 Bn |
| Sep 30, 2023 | 13.91 Bn |
| Jun 30, 2023 | 11.70 Bn |
| Mar 31, 2023 | 12.78 Bn |
| Dec 31, 2022 | 12.20 Bn |
| Sep 30, 2022 | 9.37 Bn |
| Jun 30, 2022 | 12.34 Bn |
| Mar 31, 2022 | 17.01 Bn |
| Dec 31, 2021 | 19.78 Bn |
| Sep 30, 2021 | 17.52 Bn |
Federal Home Loan Mortgage Loans 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=loans&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans", "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=loans&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();