ReposiTrak (TRAK) Times Interest Earned (2010 - 2025)
ReposiTrak's Times Interest Earned came in at 203.81 for FY2026 (year ended Jun 30, 2026), up 59.3% from 127.94 in FY2025.
Analysis
ReposiTrak (TRAK) Times Interest Earned (2010 - 2025) Analysis & Trends
Going back to FY2011, ReposiTrak's Times Interest Earned data covers 13 fiscal years.
- The FY2026 figure represents the highest annual Times Interest Earned in data going back to FY2011.
- Per Business Quant, earlier fiscal years put Times Interest Earned at 127.94 in FY2025 (-28.3%), 178.38 in FY2024 (+113.7%), 83.47 in FY2023 (-16.2%) and 99.64 in FY2022 (+267.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 10.54 |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 6.32 |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | ReposiTrak | 152.34 Mn | 39.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 193.04 |
| Sep 30, 2025 | 167.20 |
| Jun 30, 2025 | 116.21 |
| Mar 31, 2025 | 141.13 |
| Dec 31, 2024 | 112.36 |
| Sep 30, 2024 | 145.50 |
| Jun 30, 2024 | 212.73 |
| Mar 31, 2024 | 157.09 |
| Dec 31, 2023 | 163.79 |
| Sep 30, 2023 | 189.16 |
| Jun 30, 2023 | 136.94 |
| Mar 31, 2023 | 155.74 |
| Dec 31, 2022 | 65.10 |
| Sep 30, 2022 | 49.82 |
| Jun 30, 2022 | 46.06 |
| Mar 31, 2022 | 84.53 |
| Dec 31, 2021 | 289.91 |
| Sep 30, 2021 | 402.51 |
| Jun 30, 2021 | 38.64 |
| Mar 31, 2021 | 169.09 |
API Access
ReposiTrak Times Interest Earned 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=times-interest-earned&ticker=TRAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "TRAK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=times-interest-earned&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();