Global Industrial (GIC) Retained Earnings (2010 - 2026)
Global Industrial (GIC) reported Retained Earnings of $152.3 million for Q2 2026, up 42.2% from $107.1 million a year earlier and up 20.8% from the prior quarter.
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Analysis
Global Industrial (GIC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Global Industrial posted Retained Earnings of $120.3 million, up 35.8% from FY2024.
- Retained Earnings has increased for three consecutive years.
- By year, Retained Earnings came in at $88.6 million in FY2024 (+34.2%), $66 million in FY2023 (+154.8%), $25.9 million in FY2022 and -$25.5 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings since Q3 2018.
- Year over year, Retained Earnings has now increased in each of the last 13 quarters, with growth averaging 37.2% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 32.3% (Q1 2025) and 708.9% (Q2 2023) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $126.1 million (Q1 2026), $120.3 million (Q4 2025) and $115.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 15.86 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 4.04 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 7.40 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 7.77 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 7.48 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 5.82 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 2.79 Bn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 1.31 Bn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 1.75 Bn |
| 10 | Global Industrial | 1.60 Bn | 1.32 Bn | 155.40 Mn | 152.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.30 Mn |
| Mar 31, 2026 | 126.10 Mn |
| Dec 31, 2025 | 120.30 Mn |
| Sep 30, 2025 | 115.80 Mn |
| Jun 30, 2025 | 107.10 Mn |
| Mar 31, 2025 | 92.10 Mn |
| Dec 31, 2024 | 88.60 Mn |
| Sep 30, 2024 | 87.50 Mn |
| Jun 30, 2024 | 80.30 Mn |
| Mar 31, 2024 | 69.60 Mn |
| Dec 31, 2023 | 66.00 Mn |
| Sep 30, 2023 | 58.30 Mn |
| Jun 30, 2023 | 45.30 Mn |
| Mar 31, 2023 | 31.40 Mn |
| Dec 31, 2022 | 25.90 Mn |
| Sep 30, 2022 | 18.90 Mn |
| Jun 30, 2022 | 5.60 Mn |
| Mar 31, 2022 | -10.30 Mn |
| Dec 31, 2021 | -25.50 Mn |
| Sep 30, 2021 | -24.40 Mn |
API Access
Global Industrial Retained Earnings 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=retained-earnings&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();