Distribution Solutions (DSGR) Change in Accured Expenses (2010 - 2026)
Distribution Solutions (DSGR) reported Change in Accured Expenses of $20.94 million for Q2 2026, up 167.8% from $7.82 million a year earlier and up 28.5% from the prior quarter.
Distribution Solutions (DSGR) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Distribution Solutions' Change in Accured Expenses came in at $45.28 million; for FY2025, it came in at $23.6 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$21.25 million in FY2024, $13.67 million in FY2023, -$8.84 million in FY2022 and $2.89 million in FY2021 (-50.0%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses in data going back to Q3 2010.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 91.7%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2021 (growth of 262.4%); the low point was Q2 2022 (a decline of 69.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.3 million (Q1 2026), -$3.95 million (Q4 2025) and $12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 150.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 26.00 Mn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 45.70 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 543.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 93.00 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 99.70 Mn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 61.30 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | - |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 104.46 Mn |
| 10 | Distribution Solutions | 1.62 Bn | 1.37 Bn | 180.14 Mn | 20.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.94 Mn |
| Mar 31, 2026 | 16.30 Mn |
| Dec 31, 2025 | -3.95 Mn |
| Sep 30, 2025 | 12.00 Mn |
| Jun 30, 2025 | 7.82 Mn |
| Mar 31, 2025 | 7.74 Mn |
| Dec 31, 2024 | -1.07 Mn |
| Sep 30, 2024 | -35.82 Mn |
| Jun 30, 2024 | 12.18 Mn |
| Mar 31, 2024 | 3.45 Mn |
| Dec 31, 2023 | 3.12 Mn |
| Sep 30, 2023 | 19.49 Mn |
| Jun 30, 2023 | -20.12 Mn |
| Mar 31, 2023 | 11.18 Mn |
| Dec 31, 2022 | -10.53 Mn |
| Sep 30, 2022 | -8.27 Mn |
| Jun 30, 2022 | 2.86 Mn |
| Mar 31, 2022 | 7.10 Mn |
| Dec 31, 2021 | 9.75 Mn |
| Sep 30, 2021 | -12.49 Mn |
Distribution Solutions 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=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "DSGR", "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=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();