Distribution Solutions (DSGR) EBITDA (2010 - 2026)
Distribution Solutions (DSGR) reported EBITDA of $47.73 million for Q2 2026, up 1.2% from $47.16 million a year earlier and up 43.1% from the prior quarter.
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Analysis
Distribution Solutions (DSGR) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Distribution Solutions' EBITDA came in at $152.99 million, down 7.3% year-over-year; for FY2025, it was $159.14 million, up 22.1% from FY2024.
- EBITDA has increased for six consecutive years, with a five-year compound annual growth rate of 42.3% (FY2020 to FY2025).
- By year, EBITDA came in at $130.33 million in FY2024 (+22.3%), $106.58 million in FY2023 (+22.5%), $86.97 million in FY2022 (+188.9%) and $30.1 million in FY2021 (+10.5%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q3 2010.
- Year over year, EBITDA gained in six of the last eight quarters, with growth averaging 36.9%.
- The high point for year-over-year EBITDA in five years was Q4 2022 (growth of 718.1%); the low point was Q4 2023 (a decline of 39.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $33.35 million (Q1 2026), $28.24 million (Q4 2025) and $43.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.27 Bn | 64.03 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 62.72 Bn | 60.31 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 59.35 Bn | 58.27 Bn | 1.06 Bn | 547.30 Mn |
| 4 | Ferguson Enterprises | 43.78 Bn | 41.00 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.64 Bn | 31.52 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 21.28 Bn | 20.32 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 16.67 Bn | 13.99 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.34 Bn | 12.21 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Watsco | 11.50 Bn | 9.18 Bn | 578.93 Mn | 249.30 Mn |
| 10 | Distribution Solutions | 1.62 Bn | 1.37 Bn | 180.14 Mn | 48.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.17 Mn |
| Mar 31, 2026 | 33.79 Mn |
| Dec 31, 2025 | 28.86 Mn |
| Sep 30, 2025 | 44.49 Mn |
| Jun 30, 2025 | 48.01 Mn |
| Mar 31, 2025 | 40.98 Mn |
| Dec 31, 2024 | 41.06 Mn |
| Sep 30, 2024 | 38.34 Mn |
| Jun 30, 2024 | 33.35 Mn |
| Mar 31, 2024 | 20.50 Mn |
| Dec 31, 2023 | 16.74 Mn |
| Sep 30, 2023 | 30.45 Mn |
| Jun 30, 2023 | 28.89 Mn |
| Mar 31, 2023 | 32.91 Mn |
| Dec 31, 2022 | 27.00 Mn |
| Sep 30, 2022 | 32.00 Mn |
| Jun 30, 2022 | 18.63 Mn |
| Mar 31, 2022 | 11.23 Mn |
| Dec 31, 2021 | 3.64 Mn |
| Sep 30, 2021 | 10.52 Mn |
API Access
Distribution Solutions EBITDA 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=ebitda&ticker=DSGR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();