Federal Home Loan Mortgage (FMCC) Operating Expenses (2010 - 2026)
Federal Home Loan Mortgage (FMCC) reported Operating Expenses of $2.1 billion for Q2 2026, down 2.8% from $2.16 billion a year earlier but up 3.7% from the prior quarter.
Federal Home Loan Mortgage (FMCC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Federal Home Loan Mortgage's Operating Expenses came in at $8.49 billion, down 1.8% year-over-year; for FY2025, it was $8.62 billion, down 0.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $8.66 billion in FY2024 (-2.7%), $8.9 billion in FY2023 (+13.9%), $7.82 billion in FY2022 (+0.3%) and $7.79 billion in FY2021 (+30.4%).
- Five-year quarterly Operating Expenses spans a low of $1.83 billion in Q3 2022 and a high of $2.58 billion in Q3 2023.
- Year over year, Operating Expenses gained in three of the last eight quarters, with an average decline of 2.7%.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 41.2%); the low point was Q3 2024 (a decline of 15.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.02 billion (Q1 2026), $2.26 billion (Q4 2025) and $2.12 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 41.18 Bn | 9.90 Bn | 4.68 Bn | 4.66 Bn |
| 2 | Rocket Companies | 30.87 Bn | 16.55 Bn | - | 2.50 Bn |
| 3 | Affirm Holdings | 26.11 Bn | 19.80 Bn | - | 1.02 Bn |
| 4 | Royalty Pharma | 25.20 Bn | 22.16 Bn | - | 541.02 Mn |
| 5 | Synchrony Financial | 24.32 Bn | -43.65 Bn | - | 1.33 Bn |
| 6 | Federal National Mortgage Association Fannie Mae | 20.83 Bn | 20.83 Bn | - | 2.07 Bn |
| 7 | Royal Gold | 19.70 Bn | 18.88 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Ares Capital | 13.30 Bn | 10.74 Bn | - | - |
| 9 | Annaly Capital Management | 13.26 Bn | 4.30 Bn | - | 58.19 Mn |
| 10 | Federal Home Loan Mortgage | 10.54 Bn | -8.20 Bn | - | 2.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Bn |
| Mar 31, 2026 | 2.02 Bn |
| Dec 31, 2025 | 2.26 Bn |
| Sep 30, 2025 | 2.12 Bn |
| Jun 30, 2025 | 2.16 Bn |
| Mar 31, 2025 | 2.09 Bn |
| Dec 31, 2024 | 2.22 Bn |
| Sep 30, 2024 | 2.18 Bn |
| Jun 30, 2024 | 2.13 Bn |
| Mar 31, 2024 | 2.12 Bn |
| Dec 31, 2023 | 2.19 Bn |
| Sep 30, 2023 | 2.58 Bn |
| Jun 30, 2023 | 2.20 Bn |
| Mar 31, 2023 | 1.93 Bn |
| Dec 31, 2022 | 2.04 Bn |
| Sep 30, 2022 | 1.83 Bn |
| Jun 30, 2022 | 2.02 Bn |
| Mar 31, 2022 | 1.93 Bn |
| Dec 31, 2021 | 1.99 Bn |
| Sep 30, 2021 | 1.84 Bn |
Federal Home Loan Mortgage Operating Expenses 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=operating-expenses&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();