Global Industrial (GIC) EPS (Diluted) (2010 - 2026)
Global Industrial's EPS (Diluted) was $0.97 in Q2 2026, up 48.6% from $0.65 a year earlier and up 124.1% from the prior quarter.
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Analysis
Global Industrial (GIC) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Industrial's EPS (Diluted) was $2.28 through Jun 30, 2026, up 32.3% year-over-year; for FY2025, it came in at $1.88, up 18.2% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was $1.59 in FY2024 (-14.2%), $1.85 in FY2023 (-10.5%), $2.07 in FY2022 (-23.9%) and $2.72 in FY2021 (+56.7%).
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) since Q4 2021.
- Compared with a year earlier, EPS (Diluted) has increased for six straight quarters, with growth averaging 12.0% over the last eight quarters.
- The best year-over-year quarter for EPS (Diluted) over five years was Q4 2021 (growth of 163.3%); the worst was Q4 2022 (a decline of 68.0%).
- Per Business Quant data, GIC's EPS (Diluted) in the three quarters before Q2 2026 was $0.43 (Q1 2026), $0.38 (Q4 2025) and $0.49 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 12.08 |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 0.33 |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 2.13 |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 1.06 |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 6.29 |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 4.23 |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 3.13 |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 4.00 |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 0.06 |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 0.97 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.97 |
| Mar 31, 2026 | 0.43 |
| Dec 31, 2025 | 0.38 |
| Sep 30, 2025 | 0.49 |
| Jun 30, 2025 | 0.65 |
| Mar 31, 2025 | 0.35 |
| Dec 31, 2024 | 0.28 |
| Sep 30, 2024 | 0.44 |
| Jun 30, 2024 | 0.53 |
| Mar 31, 2024 | 0.34 |
| Dec 31, 2023 | 0.40 |
| Sep 30, 2023 | 0.54 |
| Jun 30, 2023 | 0.56 |
| Mar 31, 2023 | 0.35 |
| Dec 31, 2022 | 0.36 |
| Sep 30, 2022 | 0.53 |
| Jun 30, 2022 | 0.60 |
| Mar 31, 2022 | 0.58 |
| Dec 31, 2021 | 1.13 |
| Sep 30, 2021 | 0.61 |
API Access
Global Industrial EPS (Diluted) 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=eps-diluted&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();