Global Industrial (GIC) Operating Margin (2010 - 2026)
Global Industrial's Operating Margin was 12.75% in Q2 2026, up 3.42 percentage points from 9.33% a year earlier and up 6.87 percentage points from the prior quarter.
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Analysis
Global Industrial (GIC) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Industrial's Operating Margin was 8.06% through Jun 30, 2026, up 1.39 percentage points year-over-year; for FY2025, it was 7.08%, up 0.96 percentage points from FY2024.
- Operating Margin shows a five-year change of -1.10 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 6.12% in FY2024 (-1.46 pp), 7.57% in FY2023 (-1.45 pp), 9.02% in FY2022 (+0.74 pp) and 8.28% in FY2021 (+0.10 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin in data going back to Q2 2010.
- Compared with a year earlier, Operating Margin has increased for six straight quarters, with an average year-over-year change of +0.52 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q1 2022 (a gain of 7.59 percentage points); the worst was Q1 2023 (a drop of 3.72 percentage points).
- Per Business Quant data, GIC's Operating Margin in the three quarters before Q2 2026 was 5.88% (Q1 2026), 5.67% (Q4 2025) and 7.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 16.07% |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 21.02% |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 8.19% |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 22.18% |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 9.54% |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 5.73% |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 11.78% |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 11.32% |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 7.20% |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 12.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.75% |
| Mar 31, 2026 | 5.88% |
| Dec 31, 2025 | 5.67% |
| Sep 30, 2025 | 7.44% |
| Jun 30, 2025 | 9.33% |
| Mar 31, 2025 | 5.67% |
| Dec 31, 2024 | 4.80% |
| Sep 30, 2024 | 6.48% |
| Jun 30, 2024 | 7.59% |
| Mar 31, 2024 | 5.38% |
| Dec 31, 2023 | 6.69% |
| Sep 30, 2023 | 7.95% |
| Jun 30, 2023 | 8.93% |
| Mar 31, 2023 | 6.50% |
| Dec 31, 2022 | 6.79% |
| Sep 30, 2022 | 9.21% |
| Jun 30, 2022 | 9.58% |
| Mar 31, 2022 | 10.22% |
| Dec 31, 2021 | 9.96% |
| Sep 30, 2021 | 11.03% |
API Access
Global Industrial Operating Margin 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-margin&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();