ReposiTrak (TRAK) Other Operating Expenses (2010 - 2025)
ReposiTrak (TRAK) recorded Other Operating Expenses of $2.57 million in fiscal Q2 2026 (quarter ended Dec 31, 2025), down 6.9% from $2.76 million a year earlier and down 4.9% from the prior quarter.
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Analysis
ReposiTrak (TRAK) Other Operating Expenses (2010 - 2025) Analysis & Trends
On a TTM basis, ReposiTrak's Other Operating Expenses came in at $10.62 million as of Dec 31, 2025, up 2.0% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $12,262.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -75.2% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $8.78 million in FY2023 (+4.9%), $8.37 million in FY2022 (-32.9%) and $12.48 million in FY2021 (-3.9%).
- The fiscal Q2 2026 figure is the lowest quarterly Other Operating Expenses since fiscal Q4 2024.
- On a year-over-year basis, Other Operating Expenses rose in seven of the last eight quarters, with growth averaging 4.0%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 25.9% in fiscal Q3 2021, against a decline of 53.9% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.71 million (Q1 2026), $2.7 million (Q4 2025) and $2.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 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 | 2.57 Mn |
| Sep 30, 2025 | 2.71 Mn |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 2.65 Mn |
| Dec 31, 2024 | 2.76 Mn |
| Sep 30, 2024 | 2.67 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 2.47 Mn |
| Dec 31, 2023 | 2.54 Mn |
| Sep 30, 2023 | 2.58 Mn |
| Jun 30, 2023 | 2.34 Mn |
| Mar 31, 2023 | 2.39 Mn |
| Dec 31, 2022 | 2.32 Mn |
| Sep 30, 2022 | 2.27 Mn |
| Jun 30, 2022 | 2.23 Mn |
| Mar 31, 2022 | 2.20 Mn |
| Dec 31, 2021 | 2.19 Mn |
| Sep 30, 2021 | 2.30 Mn |
| Jun 30, 2021 | 1.78 Mn |
| Mar 31, 2021 | 4.05 Mn |
API Access
ReposiTrak Other Operating 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=other-operating-expenses&ticker=TRAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();