Global Industrial (GIC) Capital Expenditures (2010 - 2026)
Global Industrial (GIC) reported Capital Expenditures of $900,000 for Q2 2026, down 35.7% from $1.4 million a year earlier but up 12.5% from the prior quarter.
Global Industrial (GIC) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global Industrial's Capital Expenditures came in at $3.2 million, unchanged year-over-year; for FY2025, it came in at $3.1 million, down 18.4% from FY2024.
- Capital Expenditures has declined for three consecutive years, though with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $3.8 million in FY2024 (-2.6%), $3.9 million in FY2023 (-47.3%), $7.4 million in FY2022 (+117.6%) and $3.4 million in FY2021 (+25.9%).
- Five-year quarterly Capital Expenditures spans a low of $200,000 in Q1 2025 and a high of $2.8 million in Q3 2022.
- Year over year, Capital Expenditures gained in four of the last eight quarters, with growth averaging 23.9%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2026 (growth of 300.0%); the low point was Q1 2025 (a decline of 84.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $800,000 (Q1 2026), $800,000 (Q4 2025) and $700,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 111.00 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 64.10 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 92.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 855.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 93.40 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 28.20 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 5.25 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 8.99 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 37.60 Mn |
| 10 | Global Industrial | 1.60 Bn | 1.32 Bn | 155.40 Mn | 900,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 900,000.00 |
| Mar 31, 2026 | 800,000.00 |
| Dec 31, 2025 | 800,000.00 |
| Sep 30, 2025 | 700,000.00 |
| Jun 30, 2025 | 1.40 Mn |
| Mar 31, 2025 | 200,000.00 |
| Dec 31, 2024 | 700,000.00 |
| Sep 30, 2024 | 900,000.00 |
| Jun 30, 2024 | 900,000.00 |
| Mar 31, 2024 | 1.30 Mn |
| Dec 31, 2023 | 600,000.00 |
| Sep 30, 2023 | 1.90 Mn |
| Jun 30, 2023 | 700,000.00 |
| Mar 31, 2023 | 700,000.00 |
| Dec 31, 2022 | 2.50 Mn |
| Sep 30, 2022 | 2.80 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 1.10 Mn |
| Sep 30, 2021 | 1.30 Mn |
| Jun 30, 2021 | 1.20 Mn |
Global Industrial Capital Expenditures 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=capital-expenditures&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();