Global Industrial (GIC) Operating Income (2010 - 2026)
Global Industrial's Operating Income was $49.3 million in Q2 2026, up 47.2% from $33.5 million a year earlier and up 139.3% from the prior quarter.
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Analysis
Global Industrial (GIC) Operating Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Industrial's Operating Income was $115.8 million through Jun 30, 2026, up 31.0% year-over-year; for FY2025, it was $97.6 million, up 21.2% from FY2024.
- Operating Income shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Operating Income was $80.5 million in FY2024 (-16.6%), $96.5 million in FY2023 (-8.3%), $105.2 million in FY2022 (+19.5%) and $88 million in FY2021 (+4.6%).
- The Q2 2026 figure marks the highest quarterly Operating Income in data going back to Q2 2010.
- Compared with a year earlier, Operating Income has increased for six straight quarters, with growth averaging 11.5% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was Q1 2022 (growth of 347.0%); the worst was Q1 2023 (a decline of 39.7%).
- Per Business Quant data, GIC's Operating Income in the three quarters before Q2 2026 was $20.6 million (Q1 2026), $19.6 million (Q4 2025) and $26.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 807.00 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 501.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 612.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 691.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 441.60 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 382.20 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 159.31 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 238.37 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 121.80 Mn |
| 10 | Global Industrial | 1.60 Bn | 1.32 Bn | 155.40 Mn | 49.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.30 Mn |
| Mar 31, 2026 | 20.60 Mn |
| Dec 31, 2025 | 19.60 Mn |
| Sep 30, 2025 | 26.30 Mn |
| Jun 30, 2025 | 33.50 Mn |
| Mar 31, 2025 | 18.20 Mn |
| Dec 31, 2024 | 14.50 Mn |
| Sep 30, 2024 | 22.20 Mn |
| Jun 30, 2024 | 26.40 Mn |
| Mar 31, 2024 | 17.40 Mn |
| Dec 31, 2023 | 21.40 Mn |
| Sep 30, 2023 | 28.20 Mn |
| Jun 30, 2023 | 29.10 Mn |
| Mar 31, 2023 | 17.80 Mn |
| Dec 31, 2022 | 17.70 Mn |
| Sep 30, 2022 | 27.50 Mn |
| Jun 30, 2022 | 30.50 Mn |
| Mar 31, 2022 | 29.50 Mn |
| Dec 31, 2021 | 26.10 Mn |
| Sep 30, 2021 | 30.60 Mn |
API Access
Global Industrial Operating Income 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=operating-income&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();