Federal Home Loan Mortgage (FMCC) Accumulated Expenses (2010 - 2026)
Federal Home Loan Mortgage's (FMCC) quarterly Accumulated Expenses came in at $11.0 billion in Q2 2026, up 7.13% year-over-year from $10.2 billion in Q2 2025, and up 3.78% quarter-over-quarter from $10.6 billion in Q1 2026.
Federal Home Loan Mortgage (FMCC) Accumulated Expenses (2010 - 2026) Analysis & Trends
Federal Home Loan Mortgage (FMCC) has reported Accumulated Expenses for 17 consecutive years, with $11.0 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 7.13% year-over-year to $11.0 billion in Q2 2026; TTM through Jun 2026 was $11.0 billion, a 7.13% increase from a year earlier, with the FY2025 full-year figure at $10.6 billion, up 7.89% from the prior year.
- Accumulated Expenses was $11.0 billion for Q2 2026 at Federal Home Loan Mortgage, up from $10.6 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $11.0 billion in Q2 2026 and troughed at $6.3 billion in Q1 2022.
- A 5-year average of $8.8 billion and a median of $9.0 billion in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses grew 5.24% in 2022 and rose 22.21% in 2023, its largest moves.
- Over 5 years, Accumulated Expenses stood at $7.3 billion in 2022, then climbed by 20.56% to $8.8 billion in 2023, then climbed by 11.46% to $9.8 billion in 2024, then grew by 7.89% to $10.6 billion in 2025, then increased by 3.38% to $11.0 billion in 2026.
- The last three Accumulated Expenses figures came in at $11.0 billion (Q2 2026), $10.6 billion (Q1 2026), and $10.6 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 10 | Ares Capital | 13.90 Bn | 13.52 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.96 Bn |
| Mar 31, 2026 | 10.56 Bn |
| Dec 31, 2025 | 10.60 Bn |
| Sep 30, 2025 | 10.19 Bn |
| Jun 30, 2025 | 10.23 Bn |
| Mar 31, 2025 | 9.76 Bn |
| Dec 31, 2024 | 9.82 Bn |
| Sep 30, 2024 | 9.22 Bn |
| Jun 30, 2024 | 9.35 Bn |
| Mar 31, 2024 | 8.71 Bn |
| Dec 31, 2023 | 8.81 Bn |
| Sep 30, 2023 | 8.45 Bn |
| Jun 30, 2023 | 8.05 Bn |
| Mar 31, 2023 | 7.51 Bn |
| Dec 31, 2022 | 7.31 Bn |
| Sep 30, 2022 | 6.92 Bn |
| Jun 30, 2022 | 6.59 Bn |
| Mar 31, 2022 | 6.27 Bn |
| Dec 31, 2021 | 6.27 Bn |
| Sep 30, 2021 | 6.05 Bn |
Federal Home Loan Mortgage Accumulated 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=accumulated-expenses&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();