Global Industrial (GIC) EBIT (2010 - 2026)
Global Industrial's EBIT came in at $49.3 million for 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) EBIT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global Industrial reported EBIT of $115.8 million, up 31.0% year-over-year; for FY2025, it came in at $97.6 million, up 21.2% from FY2024.
- EBIT carries a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Going back by year, EBIT 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 represents the highest quarterly EBIT in data going back to Q2 2010.
- Year-over-year, EBIT has increased for six consecutive quarters, with growth averaging 11.5% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q1 2022 (growth of 347.0%), and the weakest in Q1 2023 (a decline of 39.7%).
- Business Quant data shows GIC's EBIT at $20.6 million (Q1 2026), $19.6 million (Q4 2025) and $26.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 807.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 501.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 612.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 691.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 441.60 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 382.20 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 159.31 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 238.37 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 121.80 Mn |
| 10 | Global Industrial | 1.61 Bn | 1.33 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 EBIT 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=ebit&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();