Global Industrial (GIC) Revenue (2010 - 2026)
Analysis
Global Industrial (GIC) Revenue (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 4.89 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 5.18 Bn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 2.46 Bn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 7.47 Bn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 3.12 Bn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 5.21 Bn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 7.23 Bn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 2.10 Bn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 1.29 Bn |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 389.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 389.50 Mn |
| Jun 30, 2026 | 386.60 Mn |
| Mar 31, 2026 | 350.40 Mn |
| Dec 31, 2025 | 345.60 Mn |
| Sep 30, 2025 | 353.60 Mn |
| Jun 30, 2025 | 358.90 Mn |
| Mar 31, 2025 | 321.00 Mn |
| Dec 31, 2024 | 302.30 Mn |
| Sep 30, 2024 | 342.40 Mn |
| Jun 30, 2024 | 347.80 Mn |
| Mar 31, 2024 | 323.40 Mn |
| Dec 31, 2023 | 320.10 Mn |
| Sep 30, 2023 | 354.60 Mn |
| Jun 30, 2023 | 325.80 Mn |
| Mar 31, 2023 | 273.80 Mn |
| Dec 31, 2022 | 260.50 Mn |
| Sep 30, 2022 | 298.50 Mn |
| Jun 30, 2022 | 318.50 Mn |
| Mar 31, 2022 | 288.60 Mn |
| Dec 31, 2021 | 262.00 Mn |
API Access
Global Industrial 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=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();