Better Home & Finance Holding (BETR) Provision for Losses (2024 - 2026)
Better Home & Finance Holding (BETR) posted Provision for Losses of $584,000 for Q1 2026, compared with -$88,000 a year earlier.
Better Home & Finance Holding (BETR) Provision for Losses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Provision for Losses at Better Home & Finance Holding was $1.26 million, down 20.5% year-over-year.
- In prior years, Better Home & Finance Holding's Provision for Losses was $1.67 million in FY2024.
- Quarterly Provision for Losses has run from a low of -$146,000 in Q3 2025 to a high of $1.14 million in Q3 2024 over five years.
- According to Business Quant data, Provision for Losses for the three prior quarters was -$72,000 (Q4 2025), -$146,000 (Q3 2025) and $890,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 42.82 Bn | 31.64 Bn | - | - |
| 2 | Orix | 38.85 Bn | 7.58 Bn | 12.74 Bn | - |
| 3 | Royalty Pharma | 30.02 Bn | 27.40 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.05 Bn | 26.05 Bn | - | - |
| 5 | Synchrony Financial | 23.55 Bn | -44.08 Bn | - | 1.27 Bn |
| 6 | Affirm Holdings | 23.27 Bn | 16.32 Bn | - | 259.36 Mn |
| 7 | Royal Gold | 22.53 Bn | 21.71 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 14.32 Bn | 5.27 Bn | - | - |
| 9 | Ares Capital | 13.77 Bn | 11.52 Bn | - | - |
| 10 | Better Home & Finance Holding | 359.37 Mn | -195.91 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 584,000.00 |
| Dec 31, 2025 | -72,000.00 |
| Sep 30, 2025 | -146,000.00 |
| Jun 30, 2025 | 890,000.00 |
| Mar 31, 2025 | -88,000.00 |
| Dec 31, 2024 | 529,000.00 |
| Sep 30, 2024 | 1.14 Mn |
Better Home & Finance Holding Provision for Losses 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=provision-for-losses&ticker=BETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "BETR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=BETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();