Global Industrial (GIC) Property, Plant & Equipment (Net) (2010 - 2026)
Global Industrial (GIC) recorded Property, Plant & Equipment (Net) of $17.6 million in Q3 2026, down 6.4% from $18.8 million a year earlier and down 1.1% from the prior quarter.
Global Industrial (GIC) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Global Industrial reported Property, Plant & Equipment (Net) of $18.5 million, down 3.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, though with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $19.1 million in FY2024 (-4.5%), $20 million in FY2023 (-4.8%), $21 million in FY2022 (+27.3%) and $16.5 million in FY2021 (-0.6%).
- The Q3 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q2 2022.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 12 consecutive quarters, with an average decline of 4.9% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 27.3% in Q4 2022, against a decline of 9.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.8 million (Q2 2026), $18.1 million (Q1 2026) and $18.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 19.52 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 2.49 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 1.19 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 1.93 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 13.95 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 2.67 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 488.50 Mn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 146.89 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 134.62 Mn |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 17.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.60 Mn |
| Jun 30, 2026 | 17.80 Mn |
| Mar 31, 2026 | 18.10 Mn |
| Dec 31, 2025 | 18.50 Mn |
| Sep 30, 2025 | 18.80 Mn |
| Jun 30, 2025 | 19.40 Mn |
| Mar 31, 2025 | 18.30 Mn |
| Dec 31, 2024 | 19.10 Mn |
| Sep 30, 2024 | 19.70 Mn |
| Jun 30, 2024 | 19.90 Mn |
| Mar 31, 2024 | 20.10 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 20.30 Mn |
| Jun 30, 2023 | 20.60 Mn |
| Mar 31, 2023 | 20.80 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Sep 30, 2022 | 18.50 Mn |
| Jun 30, 2022 | 16.80 Mn |
| Mar 31, 2022 | 16.70 Mn |
| Dec 31, 2021 | 16.50 Mn |
Global Industrial 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=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GIC", "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=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();