Distribution Solutions (DSGR) Total Liabilities (2010 - 2026)
Distribution Solutions (DSGR) recorded Total Liabilities of $1.16 billion in Q2 2026, up 5.4% from $1.1 billion a year earlier and up 1.8% from the prior quarter.
Distribution Solutions (DSGR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Distribution Solutions reported Total Liabilities of $1.1 billion, up 1.2% from FY2024.
- Annual Total Liabilities has increased for six straight years, with a five-year compound annual growth rate of 61.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.09 billion in FY2024 (+22.3%), $888.73 million in FY2023 (+36.2%), $652.62 million in FY2022 (+100.4%) and $325.59 million in FY2021 (+222.2%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has increased for 17 consecutive quarters, with growth averaging 11.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 699.4% in Q3 2022, against a decline of 34.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.14 billion (Q1 2026), $1.1 billion (Q4 2025) and $1.11 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 5.39 Bn |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 23.09 Bn |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 1.35 Bn |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 3.88 Bn |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 13.34 Bn |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 1.61 Bn |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 5.79 Bn |
| 10 | Distribution Solutions | 1.62 Bn | 1.36 Bn | 180.14 Mn | 1.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 1.10 Bn |
| Mar 31, 2025 | 1.13 Bn |
| Dec 31, 2024 | 1.09 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 954.25 Mn |
| Mar 31, 2024 | 888.47 Mn |
| Dec 31, 2023 | 888.73 Mn |
| Sep 30, 2023 | 919.86 Mn |
| Jun 30, 2023 | 894.09 Mn |
| Mar 31, 2023 | 655.95 Mn |
| Dec 31, 2022 | 652.62 Mn |
| Sep 30, 2022 | 685.97 Mn |
| Jun 30, 2022 | 684.37 Mn |
| Mar 31, 2022 | 107.41 Mn |
| Dec 31, 2021 | 325.59 Mn |
| Sep 30, 2021 | 85.81 Mn |
Distribution Solutions Total Liabilities 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=total-liabilities&ticker=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();