High Templar Tech (HTT) Provision for Losses (2022 - 2025)
High Templar Tech's Provision for Losses was -$453,000 in Q4 2025, compared with $1.83 million a year earlier.
Analysis
High Templar Tech (HTT) Provision for Losses (2022 - 2025) Analysis & Trends
For FY2025, Provision for Losses at High Templar Tech came in at $303,392.
- Provision for Losses shows a five-year compound annual growth rate of -73.6% (FY2020 to FY2025).
- In earlier years, Provision for Losses was -$2.55 million in FY2024, $4.13 million in FY2023, -$1.2 million in FY2022 and $9.29 million in FY2021 (-96.0%).
- The Q4 2025 figure marks the lowest quarterly Provision for Losses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | - |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | - |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | - |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 1.27 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 259.36 Mn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | - |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | - |
| 10 | High Templar Tech | 727.34 Mn | -3.13 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -453,000.00 |
| Sep 30, 2025 | -25,000.00 |
| Jun 30, 2025 | 38,000.00 |
| Mar 31, 2025 | 132,000.00 |
| Dec 31, 2024 | 1.83 Mn |
| Sep 30, 2024 | 399,000.00 |
| Jun 30, 2024 | -103,000.00 |
| Mar 31, 2024 | 446,000.00 |
| Dec 31, 2023 | -1.31 Mn |
| Sep 30, 2023 | -545,000.00 |
| Jun 30, 2023 | -2.39 Mn |
| Mar 31, 2023 | 859,000.00 |
| Dec 31, 2022 | 19.79 Mn |
| Sep 30, 2022 | 9.30 Mn |
| Jun 30, 2022 | 4.35 Mn |
| Mar 31, 2022 | -1.87 Mn |
API Access
High Templar Tech 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=HTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "HTT", "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=HTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();