Distribution Solutions (DSGR) Property, Plant & Equipment (Net) (2010 - 2026)
Distribution Solutions (DSGR) recorded Property, Plant & Equipment (Net) of $124.38 million in Q2 2026, down 2.1% from $127.1 million a year earlier and down 1.9% from the prior quarter.
Distribution Solutions (DSGR) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Distribution Solutions reported Property, Plant & Equipment (Net) of $126.61 million, up 0.9% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four straight years, with a five-year compound annual growth rate of 51.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $125.52 million in FY2024 (+10.3%), $113.81 million in FY2023 (+76.7%), $64.4 million in FY2022 (+609.3%) and $9.08 million in FY2021 (-42.5%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q2 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in six of the last eight quarters, with growth averaging 6.6%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 609.3% in Q4 2022, against a decline of 42.5% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $126.79 million (Q1 2026), $126.61 million (Q4 2025) and $126.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.56 Bn | 69.68 Bn | 2.05 Bn | 19.52 Bn |
| 2 | W.W. Grainger | 68.55 Bn | 65.91 Bn | 2.01 Bn | 2.49 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 1.19 Bn |
| 4 | Ferguson Enterprises | 51.11 Bn | 48.33 Bn | 2.32 Bn | 1.93 Bn |
| 5 | Sunbelt Rentals Holdings | 33.66 Bn | 33.54 Bn | 1.25 Bn | 13.95 Bn |
| 6 | Reliance | 21.42 Bn | 20.47 Bn | 1.45 Bn | 2.67 Bn |
| 7 | Wesco International | 15.52 Bn | 12.56 Bn | 1.57 Bn | 488.50 Mn |
| 8 | Watsco | 12.04 Bn | 9.73 Bn | 578.93 Mn | 146.89 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 134.62 Mn |
| 10 | Distribution Solutions | 1.62 Bn | 1.37 Bn | 180.14 Mn | 124.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.38 Mn |
| Mar 31, 2026 | 126.79 Mn |
| Dec 31, 2025 | 126.61 Mn |
| Sep 30, 2025 | 126.54 Mn |
| Jun 30, 2025 | 127.10 Mn |
| Mar 31, 2025 | 125.87 Mn |
| Dec 31, 2024 | 125.52 Mn |
| Sep 30, 2024 | 128.93 Mn |
| Jun 30, 2024 | 108.71 Mn |
| Mar 31, 2024 | 111.37 Mn |
| Dec 31, 2023 | 113.81 Mn |
| Sep 30, 2023 | 111.95 Mn |
| Jun 30, 2023 | 113.33 Mn |
| Mar 31, 2023 | 64.43 Mn |
| Dec 31, 2022 | 64.40 Mn |
| Sep 30, 2022 | 64.77 Mn |
| Jun 30, 2022 | 64.96 Mn |
| Mar 31, 2022 | 19.17 Mn |
| Dec 31, 2021 | 9.08 Mn |
| Sep 30, 2021 | 17.79 Mn |
Distribution Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DSGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DSGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();