ReposiTrak (TRAK) Asset Utilization Ratio (2011 - 2025)
ReposiTrak's Asset Utilization Ratio came in at 0.40 for FY2026 (year ended Jun 30, 2026), down 5.2% from 0.42 in FY2025.
Analysis
ReposiTrak (TRAK) Asset Utilization Ratio (2011 - 2025) Analysis & Trends
Going back to FY2012, ReposiTrak's Asset Utilization Ratio data covers 15 fiscal years.
- The five-year range for annual Asset Utilization Ratio is 0.35 (FY2022) to 0.42 (FY2025).
- Per Business Quant, earlier fiscal years put Asset Utilization Ratio at 0.42 in FY2025 (+5.6%), 0.40 in FY2024 (+4.7%), 0.38 in FY2023 (+10.6%) and 0.35 in FY2022 (-10.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 0.38 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.69 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 2.17 |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 0.45 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 0.43 |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 0.55 |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 1.57 |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.35 |
| 10 | ReposiTrak | 149.43 Mn | 36.11 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.42 |
| Sep 30, 2025 | 0.42 |
| Jun 30, 2025 | 0.41 |
| Mar 31, 2025 | 0.40 |
| Dec 31, 2024 | 0.40 |
| Sep 30, 2024 | 0.40 |
| Jun 30, 2024 | 0.40 |
| Mar 31, 2024 | 0.39 |
| Dec 31, 2023 | 0.39 |
| Sep 30, 2023 | 0.39 |
| Jun 30, 2023 | 0.38 |
| Mar 31, 2023 | 0.38 |
| Dec 31, 2022 | 0.38 |
| Sep 30, 2022 | 0.37 |
| Jun 30, 2022 | 0.36 |
| Mar 31, 2022 | 0.36 |
| Dec 31, 2021 | 0.39 |
| Sep 30, 2021 | 0.39 |
| Jun 30, 2021 | 0.38 |
| Mar 31, 2021 | 0.40 |
API Access
ReposiTrak Asset Utilization Ratio 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=asset-utilization-ratio&ticker=TRAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();