Custom Truck One Source (CTOS) Exchange Rate Effect (2022 - 2026)
Custom Truck One Source's (CTOS) quarterly Exchange Rate Effect came in at $577000.0 in Q2 2026, up 328.06% year-over-year from $134793.2 in Q2 2025, and up 222.35% quarter-over-quarter from $179000.0 in Q1 2026.
Custom Truck One Source (CTOS) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Custom Truck One Source has disclosed Exchange Rate Effect across 5 years of filings, most recently posting $577000.0 for Q2 2026.
- In Q2 2026, Exchange Rate Effect rose 328.06% year-over-year to $577000.0; the TTM figure through Jun 2026 stood at $1.0 million (up 130.91% YoY), while the FY2025 annual figure was $87000.0, down 87.8% from the prior year.
- Exchange Rate Effect came in at $577000.0 for Q2 2026 at Custom Truck One Source, up from $179000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $577000.0 in Q2 2026 to a low of -$2.0 million in Q3 2022.
- Average Exchange Rate Effect over 5 years is -$21176.5, with a median of $85000.0 recorded in 2024.
- Year-over-year, Exchange Rate Effect jumped 842.86% in 2023 and sank 397.65% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$465000.0 in 2022, then jumped by 177.42% to $360000.0 in 2023, then advanced by 15.0% to $414000.0 in 2024, then slumped by 62.56% to $155000.0 in 2025, then soared by 272.26% to $577000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $577000.0 in Q2 2026, $179000.0 in Q1 2026, and $155000.0 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (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 | -362,000.00 |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 Mn | - |
| 6 | Target Hospitality | 2.13 Bn | 2.12 Bn | 15.80 Mn | -10,000.00 |
| 7 | Custom Truck One Source | 2.12 Bn | 2.11 Bn | 123.97 Mn | 577,000.00 |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 30.16 Mn | 43,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 577,000.00 |
| Mar 31, 2026 | 179,000.00 |
| Dec 31, 2025 | 155,000.00 |
| Sep 30, 2025 | 135,000.00 |
| Jun 30, 2025 | -253,000.00 |
| Mar 31, 2025 | 50,000.00 |
| Dec 31, 2024 | 414,000.00 |
| Sep 30, 2024 | 242,000.00 |
| Jun 30, 2024 | 85,000.00 |
| Mar 31, 2024 | -28,000.00 |
| Dec 31, 2023 | 360,000.00 |
| Sep 30, 2023 | -55,000.00 |
| Jun 30, 2023 | 198,000.00 |
| Mar 31, 2023 | 51,000.00 |
| Dec 31, 2022 | -465,000.00 |
| Sep 30, 2022 | -2.03 Mn |
| Jun 30, 2022 | 21,000.00 |
Custom Truck One Source Exchange Rate Effect 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=exchange-rate-effect&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();