Distribution Solutions (DSGR) Payables (2010 - 2026)
Distribution Solutions (DSGR) posted Payables of $188.12 million for Q2 2026, up 31.3% from $143.26 million a year earlier and up 12.0% from the prior quarter.
Distribution Solutions (DSGR) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Distribution Solutions' Payables came in at $151.23 million, up 20.4% from FY2024.
- Annual Payables has increased for six consecutive years, with a five-year compound annual growth rate of 46.7% (FY2020 to FY2025).
- In prior years, Distribution Solutions' Payables was $125.58 million in FY2024 (+27.3%), $98.67 million in FY2023 (+22.6%), $80.49 million in FY2022 (+67.8%) and $47.96 million in FY2021 (+115.4%).
- The Q2 2026 figure stands as the highest quarterly Payables in data going back to Q4 2010.
- On a year-over-year basis, Payables has increased in each of the last 12 quarters, with growth averaging 26.1% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q2 2022, with growth of 291.8%; the weakest was Q2 2023, with a decline of 4.5%.
- According to Business Quant data, Payables for the three prior quarters was $167.93 million (Q1 2026), $151.23 million (Q4 2025) and $155.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 1.28 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 399.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 3.68 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 623.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 627.30 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 3.74 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 341.09 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 660.30 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 743.20 Mn |
| 10 | Distribution Solutions | 1.62 Bn | 1.37 Bn | 180.14 Mn | 188.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 188.12 Mn |
| Mar 31, 2026 | 167.93 Mn |
| Dec 31, 2025 | 151.23 Mn |
| Sep 30, 2025 | 155.04 Mn |
| Jun 30, 2025 | 143.26 Mn |
| Mar 31, 2025 | 134.21 Mn |
| Dec 31, 2024 | 125.58 Mn |
| Sep 30, 2024 | 130.66 Mn |
| Jun 30, 2024 | 108.18 Mn |
| Mar 31, 2024 | 101.72 Mn |
| Dec 31, 2023 | 98.67 Mn |
| Sep 30, 2023 | 107.14 Mn |
| Jun 30, 2023 | 88.98 Mn |
| Mar 31, 2023 | 90.87 Mn |
| Dec 31, 2022 | 80.49 Mn |
| Sep 30, 2022 | 96.89 Mn |
| Jun 30, 2022 | 93.19 Mn |
| Mar 31, 2022 | 31.73 Mn |
| Dec 31, 2021 | 47.96 Mn |
| Sep 30, 2021 | 25.59 Mn |
Distribution Solutions Payables 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=payables&ticker=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();