WillScot Holdings (WSC) Change in Accured Expenses (2015 - 2026)
WillScot Holdings (WSC) posted Change in Accured Expenses of $4.83 million for Q2 2026, down 88.8% from $43.14 million a year earlier and down 91.1% from the prior quarter.
WillScot Holdings (WSC) Change in Accured Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at WillScot Holdings was $21.26 million, down 12.9% year-over-year; for FY2025, it was $42.57 million.
- In prior years, WillScot Holdings' Change in Accured Expenses was -$1.27 million in FY2024, -$14.84 million in FY2023, $9.44 million in FY2022 (-65.7%) and $27.53 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$37.15 million in Q4 2024 to a high of $54.27 million in Q1 2026 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 14.2%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2024, with growth of 87.1%; the weakest was Q2 2026, with a decline of 88.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $54.27 million (Q1 2026), -$30.08 million (Q4 2025) and -$7.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn | 150.00 Mn |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn | 26.00 Mn |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn | 45.70 Mn |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn | 543.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn | 93.00 Mn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 99.70 Mn |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn | 61.30 Mn |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn | - |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn | 104.46 Mn |
| 10 | WillScot Holdings | 2.84 Bn | 2.77 Bn | 306.26 Mn | 4.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.83 Mn |
| Mar 31, 2026 | 54.27 Mn |
| Dec 31, 2025 | -30.08 Mn |
| Sep 30, 2025 | -7.75 Mn |
| Jun 30, 2025 | 43.14 Mn |
| Mar 31, 2025 | 37.25 Mn |
| Dec 31, 2024 | -37.15 Mn |
| Sep 30, 2024 | -18.84 Mn |
| Jun 30, 2024 | 24.31 Mn |
| Mar 31, 2024 | 30.41 Mn |
| Dec 31, 2023 | 11.68 Mn |
| Sep 30, 2023 | -6.81 Mn |
| Jun 30, 2023 | 12.99 Mn |
| Mar 31, 2023 | -32.69 Mn |
| Dec 31, 2022 | -34.12 Mn |
| Sep 30, 2022 | 8.81 Mn |
| Jun 30, 2022 | 36.00 Mn |
| Mar 31, 2022 | -1.24 Mn |
| Dec 31, 2021 | -20.81 Mn |
| Sep 30, 2021 | 17.65 Mn |
WillScot Holdings Change in Accured Expenses 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-accured-expenses&ticker=WSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "WSC", "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-accured-expenses&ticker=WSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();