ReposiTrak (TRAK) EBIT (2010 - 2025)
ReposiTrak (TRAK) recorded EBIT of $7.84 million in FY2026 (year ended Jun 30, 2026), up 26.0% from $6.23 million in FY2025.
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Analysis
ReposiTrak (TRAK) EBIT (2010 - 2025) Analysis & Trends
Starting with FY2011, ReposiTrak's EBIT history includes 16 fiscal years.
- Annual EBIT has a five-year compound annual growth rate of 22.1% (FY2021 to FY2026).
- The FY2026 figure is the highest annual EBIT in data going back to FY2011.
- Per Business Quant data, TRAK's EBIT was $6.23 million in FY2025 (+23.9%), $5.02 million in FY2024 (-1.3%), $5.09 million in FY2023 (+15.3%) and $4.41 million in FY2022 (+52.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 76.00 Mn |
| 10 | ReposiTrak | 149.43 Mn | 36.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.82 Mn |
| Sep 30, 2025 | 1.89 Mn |
| Jun 30, 2025 | 1.59 Mn |
| Mar 31, 2025 | 1.81 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 1.48 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 1.52 Mn |
| Dec 31, 2022 | 1.18 Mn |
| Sep 30, 2022 | 1.23 Mn |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 1.18 Mn |
| Dec 31, 2021 | 957,569.00 |
| Sep 30, 2021 | 1.17 Mn |
| Jun 30, 2021 | 1.16 Mn |
| Mar 31, 2021 | 718,297.00 |
API Access
ReposiTrak EBIT 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=ebit&ticker=TRAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();