Global Industrial (GIC) EBITDA Margin (2010 - 2026)
Global Industrial (GIC) recorded EBITDA Margin of 8.91% in Q3 2026, up 0.91 percentage points from 8.00% a year earlier but down 4.36 percentage points from the prior quarter.
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Analysis
Global Industrial (GIC) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Global Industrial's EBITDA Margin came in at 8.83% as of Sep 30, 2026, up 1.34 percentage points year-over-year; for FY2025, it came in at 7.64%, up 0.94 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of -0.94 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 6.70% in FY2024 (-1.38 pp), 8.08% in FY2023 (-1.28 pp), 9.36% in FY2022 (+0.73 pp) and 8.63% in FY2021 (+0.05 pp).
- Quarterly EBITDA Margin has ranged from 5.39% in Q4 2024 to 13.27% in Q2 2026 over the past five years.
- On a year-over-year basis, EBITDA Margin has increased for seven consecutive quarters, with an average year-over-year change of +0.80 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 7.51 percentage points in Q1 2022, against a drop of 3.63 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 13.27% (Q2 2026), 6.42% (Q1 2026) and 6.22% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 31.17% |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 17.27% |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 23.37% |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 9.49% |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 40.96% |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 11.94% |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 7.14% |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 11.84% |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 12.38% |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 8.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.91% |
| Jun 30, 2026 | 13.27% |
| Mar 31, 2026 | 6.42% |
| Dec 31, 2025 | 6.22% |
| Sep 30, 2025 | 8.00% |
| Jun 30, 2025 | 9.86% |
| Mar 31, 2025 | 6.26% |
| Dec 31, 2024 | 5.39% |
| Sep 30, 2024 | 7.07% |
| Jun 30, 2024 | 8.14% |
| Mar 31, 2024 | 5.97% |
| Dec 31, 2023 | 7.28% |
| Sep 30, 2023 | 8.49% |
| Jun 30, 2023 | 9.39% |
| Mar 31, 2023 | 6.90% |
| Dec 31, 2022 | 7.22% |
| Sep 30, 2022 | 9.55% |
| Jun 30, 2022 | 9.86% |
| Mar 31, 2022 | 10.53% |
| Dec 31, 2021 | 10.31% |
API Access
Global Industrial EBITDA 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=ebitda-margin&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();