Distribution Solutions (DSGR) Inventory (2010 - 2026)
Distribution Solutions (DSGR) posted Inventory of $378.73 million for Q2 2026, up 8.1% from $350.3 million a year earlier and up 1.4% from the prior quarter.
Distribution Solutions (DSGR) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Distribution Solutions' Inventory came in at $353.37 million, up 1.5% from FY2024.
- Annual Inventory has increased for nine consecutive years, with a five-year compound annual growth rate of 41.7% (FY2020 to FY2025).
- In prior years, Distribution Solutions' Inventory was $348.23 million in FY2024 (+10.2%), $315.98 million in FY2023 (+19.5%), $264.37 million in FY2022 (+99.2%) and $132.72 million in FY2021 (+114.5%).
- The Q2 2026 figure stands as the highest quarterly Inventory in data going back to Q4 2010.
- On a year-over-year basis, Inventory has increased in each of the last three quarters, with growth averaging 7.2% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2022, with growth of 297.7%; the weakest was Q2 2024, with a decline of 1.7%.
- According to Business Quant data, Inventory for the three prior quarters was $373.51 million (Q1 2026), $353.37 million (Q4 2025) and $345.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 2.37 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.74 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 4.68 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 192.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 2.33 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 4.42 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 508.98 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.89 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 828.70 Mn |
| 10 | Distribution Solutions | 1.62 Bn | 1.37 Bn | 180.14 Mn | 378.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 378.73 Mn |
| Mar 31, 2026 | 373.51 Mn |
| Dec 31, 2025 | 353.37 Mn |
| Sep 30, 2025 | 345.21 Mn |
| Jun 30, 2025 | 350.30 Mn |
| Mar 31, 2025 | 349.35 Mn |
| Dec 31, 2024 | 348.23 Mn |
| Sep 30, 2024 | 347.02 Mn |
| Jun 30, 2024 | 320.75 Mn |
| Mar 31, 2024 | 313.82 Mn |
| Dec 31, 2023 | 315.98 Mn |
| Sep 30, 2023 | 313.34 Mn |
| Jun 30, 2023 | 326.24 Mn |
| Mar 31, 2023 | 269.98 Mn |
| Dec 31, 2022 | 264.37 Mn |
| Sep 30, 2022 | 260.84 Mn |
| Jun 30, 2022 | 250.70 Mn |
| Mar 31, 2022 | 77.30 Mn |
| Dec 31, 2021 | 132.72 Mn |
| Sep 30, 2021 | 67.45 Mn |
Distribution Solutions Inventory 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=inventory&ticker=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();