Global Industrial (GIC) Gross Margin (2010 - 2026)
Global Industrial (GIC) posted Gross Margin of 35.66% for Q3 2026, up 0.03 percentage points from 35.63% a year earlier but down 4.54 percentage points from the prior quarter.
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Analysis
Global Industrial (GIC) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Gross Margin at Global Industrial was 36.36%, up 0.92 percentage points year-over-year; for FY2025, it came in at 35.54%, up 1.20 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +0.86 percentage points (FY2020 to FY2025).
- In prior years, Global Industrial's Gross Margin was 34.35% in FY2024 (+0.15 pp), 34.20% in FY2023 (-1.92 pp), 36.12% in FY2022 (+0.91 pp) and 35.21% in FY2021 (+0.52 pp).
- Quarterly Gross Margin has run from a low of 32.80% in Q3 2023 to a high of 40.20% in Q2 2026 over five years.
- On a year-over-year basis, Gross Margin increased in seven of the last eight quarters, with an average year-over-year change of +0.98 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2022, with a gain of 6.57 percentage points; the weakest was Q3 2023, with a drop of 2.91 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 40.20% (Q2 2026), 34.79% (Q1 2026) and 34.46% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 41.81% |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 38.81% |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 44.85% |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 31.02% |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 40.10% |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 27.89% |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 21.67% |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 27.50% |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 30.38% |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 35.66% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.66% |
| Jun 30, 2026 | 40.20% |
| Mar 31, 2026 | 34.79% |
| Dec 31, 2025 | 34.46% |
| Sep 30, 2025 | 35.63% |
| Jun 30, 2025 | 37.06% |
| Mar 31, 2025 | 34.92% |
| Dec 31, 2024 | 33.84% |
| Sep 30, 2024 | 33.97% |
| Jun 30, 2024 | 35.22% |
| Mar 31, 2024 | 34.29% |
| Dec 31, 2023 | 33.80% |
| Sep 30, 2023 | 32.80% |
| Jun 30, 2023 | 34.65% |
| Mar 31, 2023 | 35.94% |
| Dec 31, 2022 | 36.01% |
| Sep 30, 2022 | 35.71% |
| Jun 30, 2022 | 35.48% |
| Mar 31, 2022 | 37.35% |
| Dec 31, 2021 | 37.02% |
API Access
Global Industrial Gross 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=gross-margin&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();