High Templar Tech (HTT) Return on Capital Employed [ROCE] (2017 - 2025)
High Templar Tech (HTT) reported Return on Capital Employed [ROCE] of -3.35% for Q4 2025, down 0.67 percentage points from -2.68% a year earlier but up 0.15 percentage points from the prior quarter.
High Templar Tech (HTT) Return on Capital Employed [ROCE] (2017 - 2025) Analysis & Trends
For FY2025, High Templar Tech posted Return on Capital Employed [ROCE] of -3.59%, down 0.87 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -9.43 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -2.72% in FY2024 (+0.03 pp), -2.75% in FY2023 (-0.29 pp), -2.46% in FY2022 (-9.50 pp) and 7.05% in FY2021 (+1.21 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -4.72% in Q3 2022 and a high of 16.84% in Q1 2021.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last three quarters, with an average year-over-year change of -0.41 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2021 (a gain of 9.96 percentage points); the low point was Q2 2022 (a drop of 17.82 percentage points).
- Per Business Quant data, the three quarters before Q4 2025 came in at -3.50% (Q3 2025), -3.10% (Q2 2025) and -2.69% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 8.10% |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 11.81% |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | - |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | - |
| 10 | High Templar Tech | 706.20 Mn | -2.33 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -3.35% |
| Sep 30, 2025 | -3.50% |
| Jun 30, 2025 | -3.10% |
| Mar 31, 2025 | -2.69% |
| Dec 31, 2024 | -2.68% |
| Sep 30, 2024 | -2.71% |
| Jun 30, 2024 | -2.91% |
| Mar 31, 2024 | -3.21% |
| Dec 31, 2023 | -2.81% |
| Sep 30, 2023 | -1.28% |
| Jun 30, 2023 | -2.82% |
| Mar 31, 2023 | -2.32% |
| Dec 31, 2022 | -2.73% |
| Sep 30, 2022 | -2.80% |
| Jun 30, 2022 | 0.28% |
| Mar 31, 2022 | 2.89% |
| Dec 31, 2021 | 6.61% |
| Sep 30, 2021 | 11.48% |
| Jun 30, 2021 | 16.37% |
| Mar 31, 2021 | 16.84% |
High Templar Tech Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=HTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=HTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();