Custom Truck One Source (CTOS) Change in Inventory (2018 - 2026)
Custom Truck One Source's Change in Inventory was $19.99 million in Q2 2026, up 74.5% from $11.45 million a year earlier but down 78.4% from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) Change in Inventory (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Custom Truck One Source's Change in Inventory was -$46.29 million through Jun 30, 2026; for FY2025, it came in at -$121.12 million.
- In earlier years, Change in Inventory was $64.86 million in FY2024 (-83.3%), $388.06 million in FY2023 (+99.3%), $194.69 million in FY2022 and -$46.57 million in FY2021.
- Quarterly Change in Inventory has moved between -$148.61 million (Q4 2024) and $123.69 million (Q3 2023) over five years.
- Compared with a year earlier, Change in Inventory was higher in two of the last five quarters, with growth averaging 18.3%.
- The best year-over-year quarter for Change in Inventory over five years was Q1 2022 (growth of 911.3%); the worst was Q2 2025 (a decline of 82.6%).
- Per Business Quant data, CTOS's Change in Inventory in the three quarters before Q2 2026 was $92.6 million (Q1 2026), -$105.37 million (Q4 2025) and -$53.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.27 Bn | 64.03 Bn | 1.73 Bn | 40.00 Mn |
| 2 | W.W. Grainger | 62.72 Bn | 60.31 Bn | 1.98 Bn | -9.00 Mn |
| 3 | Fastenal | 59.35 Bn | 58.27 Bn | 1.06 Bn | 44.80 Mn |
| 4 | Ferguson Enterprises | 43.78 Bn | 41.00 Bn | 2.32 Bn | 92.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.64 Bn | 31.52 Bn | 1.25 Bn | 1.00 Mn |
| 6 | Reliance | 21.28 Bn | 20.32 Bn | 1.30 Bn | 91.40 Mn |
| 7 | Wesco International | 16.67 Bn | 13.99 Bn | 1.46 Bn | 217.20 Mn |
| 8 | Applied Industrial Technologies | 12.34 Bn | 12.21 Bn | 411.22 Mn | - |
| 9 | Watsco | 11.50 Bn | 9.18 Bn | 578.93 Mn | 113.54 Mn |
| 10 | Custom Truck One Source | 2.06 Bn | 2.02 Bn | 123.97 Mn | 19.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.99 Mn |
| Mar 31, 2026 | 92.60 Mn |
| Dec 31, 2025 | -105.37 Mn |
| Sep 30, 2025 | -53.51 Mn |
| Jun 30, 2025 | 11.45 Mn |
| Mar 31, 2025 | 26.31 Mn |
| Dec 31, 2024 | -148.61 Mn |
| Sep 30, 2024 | 30.72 Mn |
| Jun 30, 2024 | 65.93 Mn |
| Mar 31, 2024 | 116.82 Mn |
| Dec 31, 2023 | 97.76 Mn |
| Sep 30, 2023 | 123.69 Mn |
| Jun 30, 2023 | 49.03 Mn |
| Mar 31, 2023 | 117.58 Mn |
| Dec 31, 2022 | 39.58 Mn |
| Sep 30, 2022 | 30.09 Mn |
| Jun 30, 2022 | 73.64 Mn |
| Mar 31, 2022 | 51.38 Mn |
| Dec 31, 2021 | 32.47 Mn |
| Sep 30, 2021 | -35.49 Mn |
API Access
Custom Truck One Source Change in Inventory 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=change-in-inventory&ticker=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "CTOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();