Distribution Solutions (DSGR) Revenue (2010 - 2026)
Distribution Solutions' Revenue came in at $557.73 million for Q2 2026, up 11.0% from $502.44 million a year earlier and up 12.4% from the prior quarter.
Distribution Solutions (DSGR) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Distribution Solutions reported Revenue of $2.05 billion, up 6.4% year-over-year; for FY2025, it was $1.98 billion, up 9.8% from FY2024.
- Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 41.3% (FY2020 to FY2025).
- Going back by year, Revenue was $1.8 billion in FY2024 (+14.9%), $1.57 billion in FY2023 (+36.4%), $1.15 billion in FY2022 (+121.3%) and $520.29 million in FY2021 (+48.0%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q2 2010.
- Year-over-year, Revenue has increased for 23 consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 0.2% in Q4 2025 to 162.8% in Q3 2022.
- Business Quant data shows DSGR's Revenue at $496 million (Q1 2026), $481.6 million (Q4 2025) and $517.96 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 5.02 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 2.39 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 7.47 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 3.12 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 4.63 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 6.67 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.35 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 2.10 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 1.69 Bn |
| 10 | Distribution Solutions | 1.62 Bn | 1.37 Bn | 180.14 Mn | 557.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 557.73 Mn |
| Mar 31, 2026 | 496.00 Mn |
| Dec 31, 2025 | 481.60 Mn |
| Sep 30, 2025 | 517.96 Mn |
| Jun 30, 2025 | 502.44 Mn |
| Mar 31, 2025 | 478.03 Mn |
| Dec 31, 2024 | 480.46 Mn |
| Sep 30, 2024 | 468.02 Mn |
| Jun 30, 2024 | 439.54 Mn |
| Mar 31, 2024 | 416.09 Mn |
| Dec 31, 2023 | 405.24 Mn |
| Sep 30, 2023 | 438.91 Mn |
| Jun 30, 2023 | 377.98 Mn |
| Mar 31, 2023 | 348.27 Mn |
| Dec 31, 2022 | 328.85 Mn |
| Sep 30, 2022 | 347.15 Mn |
| Jun 30, 2022 | 321.34 Mn |
| Mar 31, 2022 | 154.09 Mn |
| Dec 31, 2021 | 129.22 Mn |
| Sep 30, 2021 | 132.09 Mn |
Distribution Solutions Revenue 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=revenue&ticker=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();