Distribution Solutions (DSGR) Long-Term Debt Repayments (2018 - 2026)
Distribution Solutions (DSGR) reported Long-Term Debt Repayments of $117.65 million for Q2 2026, down 9.9% from $130.53 million a year earlier but up 19.5% from the prior quarter.
Distribution Solutions (DSGR) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Distribution Solutions' Long-Term Debt Repayments came in at $759.88 million, up 105.8% year-over-year; for FY2025, it came in at $739.63 million, up 246.2% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 391.8% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $213.63 million in FY2024 (-29.3%), $302.08 million in FY2023 (-9.9%), $335.31 million in FY2022 and $11.2 million in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of -$8.36 million in Q4 2022 and a high of $535.5 million in Q4 2025.
- Year over year, Long-Term Debt Repayments gained in five of the last seven quarters, with growth averaging 271.4%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2024 (growth of 652.2%); the low point was Q3 2025 (a decline of 93.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $98.47 million (Q1 2026), $535.5 million (Q4 2025) and $8.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 2.15 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 365.00 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | -3,000.00 |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 1.18 Mn |
| 10 | Distribution Solutions | 1.62 Bn | 1.37 Bn | 180.14 Mn | 126.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.57 Mn |
| Mar 31, 2026 | 107.38 Mn |
| Dec 31, 2025 | 766.12 Mn |
| Sep 30, 2025 | 18.48 Mn |
| Jun 30, 2025 | 140.74 Mn |
| Mar 31, 2025 | 75.54 Mn |
| Dec 31, 2024 | 57.39 Mn |
| Sep 30, 2024 | 140.94 Mn |
| Jun 30, 2024 | 36.35 Mn |
| Mar 31, 2024 | 12.36 Mn |
| Dec 31, 2023 | 21.55 Mn |
| Sep 30, 2023 | 21.79 Mn |
| Jun 30, 2023 | 190.40 Mn |
| Mar 31, 2023 | 95.23 Mn |
| Dec 31, 2022 | 75.00 Mn |
| Sep 30, 2022 | 206.27 Mn |
| Jun 30, 2022 | 272.04 Mn |
| Mar 31, 2022 | 103.17 Mn |
| Dec 31, 2021 | 165,000.00 |
| Sep 30, 2021 | 179,000.00 |
Distribution Solutions Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();