Federal Home Loan Mortgage (FMCC) EBITDA (2010 - 2026)
Federal Home Loan Mortgage's (FMCC) quarterly EBITDA came in at $33.0 billion in Q2 2026, up 11.15% year-over-year from $29.7 billion in Q2 2025, and up 1.78% quarter-over-quarter from $32.5 billion in Q1 2026.
Federal Home Loan Mortgage (FMCC) EBITDA (2010 - 2026) Analysis & Trends
Federal Home Loan Mortgage (FMCC) has reported EBITDA for 17 consecutive years, with $33.0 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBITDA rose 11.15% year-over-year to $33.0 billion in Q2 2026; TTM through Jun 2026 was $127.8 billion, a 8.58% increase from a year earlier, with the FY2025 full-year figure at $121.8 billion, up 7.85% from the prior year.
- EBITDA was $33.0 billion for Q2 2026 at Federal Home Loan Mortgage, up from $32.5 billion in the prior quarter.
- Over five years, EBITDA peaked at $33.0 billion in Q2 2026 and troughed at $18.3 billion in Q2 2022.
- A 5-year average of $26.5 billion and a median of $27.3 billion in 2024 frame the typical range for EBITDA.
- Across the five-year window, EBITDA surged 40.31% in 2022 and grew 5.93% in 2025, its largest moves.
- Over 5 years, EBITDA stood at $21.4 billion in 2022, then climbed by 24.52% to $26.7 billion in 2023, then advanced by 10.8% to $29.6 billion in 2024, then climbed by 5.93% to $31.3 billion in 2025, then rose by 5.42% to $33.0 billion in 2026.
- The last three EBITDA figures came in at $33.0 billion (Q2 2026), $32.5 billion (Q1 2026), and $31.3 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 47.84 Bn | 44.74 Bn | - | 655.00 Mn |
| 2 | Orix | 44.49 Bn | 44.82 Bn | 4.68 Bn | 840.19 Mn |
| 3 | Royalty Pharma | 33.65 Bn | 35.77 Bn | - | 133.12 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 28.57 Bn | 28.57 Bn | - | 38.30 Bn |
| 5 | Affirm Holdings | 24.20 Bn | 22.57 Bn | - | 147.26 Mn |
| 6 | Synchrony Financial | 23.63 Bn | 7.43 Bn | - | 2.16 Bn |
| 7 | Royal Gold | 21.87 Bn | 21.73 Bn | 390.45 Mn | 279.94 Mn |
| 8 | Annaly Capital Management | 16.08 Bn | 13.23 Bn | - | 2.16 Bn |
| 9 | Federal Home Loan Mortgage | 14.13 Bn | 9.81 Bn | - | 33.04 Bn |
| 10 | Ares Capital | 13.90 Bn | 13.52 Bn | - | 367.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.04 Bn |
| Mar 31, 2026 | 32.46 Bn |
| Dec 31, 2025 | 31.34 Bn |
| Sep 30, 2025 | 30.97 Bn |
| Jun 30, 2025 | 29.72 Bn |
| Mar 31, 2025 | 29.75 Bn |
| Dec 31, 2024 | 29.59 Bn |
| Sep 30, 2024 | 28.66 Bn |
| Jun 30, 2024 | 27.60 Bn |
| Mar 31, 2024 | 27.08 Bn |
| Dec 31, 2023 | 26.70 Bn |
| Sep 30, 2023 | 25.43 Bn |
| Jun 30, 2023 | 24.90 Bn |
| Mar 31, 2023 | 22.99 Bn |
| Dec 31, 2022 | 21.44 Bn |
| Sep 30, 2022 | 18.90 Bn |
| Jun 30, 2022 | 18.33 Bn |
| Mar 31, 2022 | 18.39 Bn |
| Dec 31, 2021 | 15.28 Bn |
| Sep 30, 2021 | 15.02 Bn |
Federal Home Loan Mortgage EBITDA 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=ebitda&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();