Global Industrial (GIC) Operating Income (2010 - 2026)
Global Industrial's Operating Income was $32.7 million in Q3 2026, up 24.3% from $26.3 million a year earlier but down 33.7% 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 $122.2 million through Sep 30, 2026, up 32.1% 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%).
- Quarterly Operating Income has moved between $14.5 million (Q4 2024) and $49.3 million (Q2 2026) over five years.
- Compared with a year earlier, Operating Income has increased for seven straight quarters, with growth averaging 17.2% 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 Q3 2026 was $49.3 million (Q2 2026), $20.6 million (Q1 2026) and $19.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 1.41 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 828.00 Mn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 530.80 Mn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 612.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 691.00 Mn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 552.10 Mn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 450.80 Mn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 238.37 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 143.59 Mn |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 32.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.70 Mn |
| 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 |
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();