ReposiTrak (TRAK) Accumulated Expenses (2011 - 2026)
ReposiTrak's Accumulated Expenses was $3.24 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 75.9% from $1.84 million a year earlier.
Analysis
ReposiTrak (TRAK) Accumulated Expenses (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, ReposiTrak has reported Accumulated Expenses for 58 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 26.8% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $1.84 million in FY2025 (+18.5%), $1.55 million in FY2024 (-4.0%), $1.62 million in FY2023 (+34.3%) and $1.21 million in FY2022 (+22.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last seven quarters, with growth averaging 23.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2023 (growth of 97.7%); the worst was fiscal Q1 2022 (a decline of 56.9%).
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 |
|---|---|
| Jun 30, 2026 | 3.24 Mn |
| Dec 31, 2025 | 2.35 Mn |
| Sep 30, 2025 | 1.99 Mn |
| Jun 30, 2025 | 1.84 Mn |
| Mar 31, 2025 | 1.17 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Sep 30, 2024 | 1.29 Mn |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 1.39 Mn |
| Dec 31, 2023 | 1.63 Mn |
| Sep 30, 2023 | 1.61 Mn |
| Jun 30, 2023 | 1.62 Mn |
| Mar 31, 2023 | 1.66 Mn |
| Dec 31, 2022 | 1.33 Mn |
| Sep 30, 2022 | 1.46 Mn |
| Jun 30, 2022 | 1.21 Mn |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 1.08 Mn |
| Sep 30, 2021 | 738,283.00 |
| Jun 30, 2021 | 988,092.00 |
API Access
ReposiTrak Accumulated 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=accumulated-expenses&ticker=TRAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();