Global Industrial (GIC) Revenue (2010 - 2026)
Global Industrial (GIC) posted Revenue of $386.6 million for Q2 2026, up 7.7% from $358.9 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Global Industrial (GIC) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Global Industrial was $1.44 billion, up 8.4% year-over-year; for FY2025, it was $1.38 billion, up 4.8% from FY2024.
- Annual Revenue has increased for nine consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In prior years, Global Industrial's Revenue was $1.32 billion in FY2024 (+3.3%), $1.27 billion in FY2023 (+9.3%), $1.17 billion in FY2022 (+9.7%) and $1.06 billion in FY2021 (+3.3%).
- The Q2 2026 figure stands as the highest quarterly Revenue since Q4 2015.
- On a year-over-year basis, Revenue has increased in each of the last five quarters, with growth averaging 3.5% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2023, with growth of 22.9%; the weakest was Q4 2024, with a decline of 5.6%.
- According to Business Quant data, Revenue for the three prior quarters was $350.4 million (Q1 2026), $345.6 million (Q4 2025) and $353.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 5.02 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 2.39 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 7.47 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 3.12 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 4.63 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 6.67 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 1.35 Bn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 2.10 Bn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 1.69 Bn |
| 10 | Global Industrial | 1.60 Bn | 1.32 Bn | 155.40 Mn | 386.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 277.40 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_KEYimport 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();