Custom Truck One Source (CTOS) Restructuring Costs (2018 - 2026)
Custom Truck One Source's (CTOS) quarterly Restructuring Costs came in at $6.0 million in Q2 2026, up 13.11% year-over-year from $5.3 million in Q2 2025, and up 54.11% quarter-over-quarter from $3.9 million in Q1 2026.
Custom Truck One Source (CTOS) Restructuring Costs (2018 - 2026) Analysis & Trends
Custom Truck One Source has disclosed Restructuring Costs across 9 years of filings, most recently posting $6.0 million for Q2 2026.
- In Q2 2026, Restructuring Costs rose 13.11% year-over-year to $6.0 million; the TTM figure through Jun 2026 stood at $17.6 million (up 8.51% YoY), while the FY2025 annual figure was $16.6 million, down 7.12% from the prior year.
- Restructuring Costs came in at $6.0 million for Q2 2026 at Custom Truck One Source, up from $3.9 million in the prior quarter.
- In the past five years, Restructuring Costs ranged from a high of $9.0 million in Q4 2022 to a low of $2.9 million in Q3 2023.
- Average Restructuring Costs over 5 years is $4.7 million, with a median of $4.3 million recorded in 2023.
- Year-over-year, Restructuring Costs plunged 75.4% in 2022 and soared 58.42% in 2024.
- Over 5 years, Restructuring Costs stood at $9.0 million in 2022, then sank by 54.53% to $4.1 million in 2023, then dropped by 21.27% to $3.2 million in 2024, then jumped by 37.11% to $4.4 million in 2025, then jumped by 35.4% to $6.0 million in 2026.
- Per Business Quant data, the three most recent Restructuring Costs figures were $6.0 million in Q2 2026, $3.9 million in Q1 2026, and $4.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Sunbelt Rentals Holdings | 30.16 Bn | 30.13 Bn | 1.25 Bn |
| 2 | Herc Holdings | 4.52 Bn | 4.48 Bn | 713.00 Mn |
| 3 | EquipmentShare.com | 3.88 Bn | 3.43 Bn | 411.00 Mn |
| 4 | WillScot Holdings | 3.29 Bn | 3.29 Bn | 306.26 Mn |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 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 |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 30.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 3.89 Mn |
| Dec 31, 2025 | 4.43 Mn |
| Sep 30, 2025 | 3.25 Mn |
| Jun 30, 2025 | 5.30 Mn |
| Mar 31, 2025 | 3.66 Mn |
| Dec 31, 2024 | 3.23 Mn |
| Sep 30, 2024 | 3.99 Mn |
| Jun 30, 2024 | 5.84 Mn |
| Mar 31, 2024 | 4.85 Mn |
| Dec 31, 2023 | 4.10 Mn |
| Sep 30, 2023 | 2.89 Mn |
| Jun 30, 2023 | 3.69 Mn |
| Mar 31, 2023 | 3.46 Mn |
| Dec 31, 2022 | 9.03 Mn |
| Sep 30, 2022 | 6.50 Mn |
| Jun 30, 2022 | 6.05 Mn |
| Mar 31, 2022 | 4.65 Mn |
| Dec 31, 2021 | 9.07 Mn |
| Sep 30, 2021 | 7.74 Mn |
Custom Truck One Source Restructuring Costs 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=restructuring-costs&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();