Custom Truck One Source (CTOS) Inventory Average (2019 - 2026)
Custom Truck One Source's (CTOS) quarterly Inventory Average came in at $1.0 billion in Q2 2026, down 4.63% year-over-year from $1.1 billion in Q2 2025, and up 5.7% quarter-over-quarter from $976.7 million in Q1 2026.
Custom Truck One Source (CTOS) Inventory Average (2019 - 2026) Analysis & Trends
Custom Truck One Source has disclosed Inventory Average across 8 years of filings, most recently posting $1.0 billion for Q2 2026.
- In Q2 2026, Inventory Average fell 4.63% year-over-year to $1.0 billion; the TTM figure through Jun 2026 stood at $1.0 billion (down 4.63% YoY), while the FY2025 annual figure was $990.1 million, down 2.7% from the prior year.
- Inventory Average came in at $1.0 billion for Q2 2026 at Custom Truck One Source, up from $976.7 million in the prior quarter.
- In the past five years, Inventory Average ranged from a high of $1.2 billion in Q3 2024 to a low of $437.1 million in Q1 2022.
- Average Inventory Average over 5 years is $884.0 million, with a median of $980.0 million recorded in 2025.
- Year-over-year, Inventory Average jumped 1244.36% in 2022 and declined 12.61% in 2025.
- Over 5 years, Inventory Average stood at $576.3 million in 2022, then jumped by 62.65% to $937.3 million in 2023, then grew by 20.04% to $1.1 billion in 2024, then decreased by 12.61% to $983.3 million in 2025, then rose by 4.99% to $1.0 billion in 2026.
- Per Business Quant data, the three most recent Inventory Average figures were $1.0 billion in Q2 2026, $976.7 million in Q1 2026, and $983.3 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Sunbelt Rentals Holdings | 30.16 Bn | 30.13 Bn | 1.25 Bn | 186.00 Mn |
| 2 | Herc Holdings | 4.52 Bn | 4.48 Bn | 713.00 Mn | - |
| 3 | EquipmentShare.com | 3.88 Bn | 3.43 Bn | 411.00 Mn | 430.50 Mn |
| 4 | WillScot Holdings | 3.29 Bn | 3.29 Bn | 306.26 Mn | 47.56 Mn |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 Mn | 13.16 Mn |
| 6 | Target Hospitality | 2.13 Bn | 2.12 Bn | 15.80 Mn | - |
| 7 | Custom Truck One Source | 2.12 Bn | 2.11 Bn | 123.97 Mn | 1.03 Bn |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 30.16 Mn | 10.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 976.71 Mn |
| Dec 31, 2025 | 983.29 Mn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.14 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 937.27 Mn |
| Sep 30, 2023 | 827.09 Mn |
| Jun 30, 2023 | 739.89 Mn |
| Mar 31, 2023 | 655.54 Mn |
| Dec 31, 2022 | 576.27 Mn |
| Sep 30, 2022 | 545.95 Mn |
| Jun 30, 2022 | 499.90 Mn |
| Mar 31, 2022 | 437.13 Mn |
| Dec 31, 2021 | 395.85 Mn |
| Sep 30, 2021 | 397.81 Mn |
Custom Truck One Source Inventory Average 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=inventory-average&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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=inventory-average&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();