Federal Home Loan Mortgage (FMCC) Loans - Net (2023 - 2024)
Federal Home Loan Mortgage's (FMCC) quarterly Loans - Net came in at $2.4 billion in Q4 2024, up 33.61% year-over-year from $1.8 billion in Q1 2024, and up 33.61% quarter-over-quarter from $1.8 billion in Q4 2023.
Federal Home Loan Mortgage (FMCC) Loans - Net (2023 - 2024) Analysis & Trends
Federal Home Loan Mortgage (FMCC) has reported Loans - Net for 2 consecutive years, with $2.4 billion the latest figure, recorded in Q4 2024.
- On a quarterly basis, Loans - Net rose 33.61% year-over-year to $2.4 billion in Q4 2024; TTM through Dec 2024 was $2.4 billion, a 33.61% increase from a year earlier, with the FY2024 full-year figure at $2.4 billion, up 33.61% from the prior year.
- Loans - Net was $2.4 billion for Q4 2024 at Federal Home Loan Mortgage, up from $1.8 billion in the prior quarter.
- Over five years, Loans - Net peaked at $2.4 billion in Q4 2024 and troughed at $1.8 billion in Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (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 | - | 4,119.01 Bn |
| 5 | Affirm Holdings | 24.20 Bn | 22.57 Bn | - | 9.00 Bn |
| 6 | Synchrony Financial | 23.63 Bn | 7.43 Bn | - | 91.90 Bn |
| 7 | Royal Gold | 21.87 Bn | 21.73 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 16.08 Bn | 13.23 Bn | - | 7.28 Bn |
| 9 | Federal Home Loan Mortgage | 14.13 Bn | 9.81 Bn | - | - |
| 10 | Ares Capital | 13.90 Bn | 13.52 Bn | - | - |
Federal Home Loan Mortgage Loans - Net 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-net&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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-net&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();