Better Home & Finance Holding (BETR) Non Operating Interest Expenses (2022 - 2024)
Better Home & Finance Holding's Non Operating Interest Expenses came in at $7.6 million for FY2024, down 34.9% from $11.68 million in FY2023.
Analysis
Better Home & Finance Holding (BETR) Non Operating Interest Expenses (2022 - 2024) Analysis & Trends
- Per Business Quant, earlier years put Non Operating Interest Expenses at $11.68 million in FY2023 (-31.5%) and $17.06 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - | 374.00 Mn |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - | 281.69 Mn |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - | 93.62 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - | 118.51 Mn |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - | - |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn | 10.01 Mn |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - | 1.32 Bn |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - | 214.00 Mn |
| 10 | Better Home & Finance Holding | 223.80 Mn | -331.48 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 4.85 Mn |
| Dec 31, 2023 | 2.14 Mn |
| Sep 30, 2023 | 2.76 Mn |
| Jun 30, 2023 | 3.60 Mn |
| Mar 31, 2023 | 5.47 Mn |
| Dec 31, 2022 | 2.28 Mn |
| Sep 30, 2022 | 2.84 Mn |
API Access
Better Home & Finance Holding Non Operating Interest 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=non-operating-interest-expenses&ticker=BETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=BETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();