Global Industrial (GIC) Enterprise Value (2010 - 2026)
Global Industrial (GIC) posted Enterprise Value of $1.19 billion for Q2 2026, up 21.1% from $981.39 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Global Industrial (GIC) Enterprise Value (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Global Industrial was $992.01 million, up 15.5% year-over-year; for FY2025, it came in at $1.05 billion, up 16.1% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior years, Global Industrial's Enterprise Value was $903.13 million in FY2024 (-37.5%), $1.44 billion in FY2023 (+67.0%), $864.71 million in FY2022 (-43.6%) and $1.53 billion in FY2021 (+15.7%).
- Quarterly Enterprise Value has run from a low of $820.29 million in Q1 2025 to a high of $1.68 billion in Q1 2024 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with an average decline of 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2024, with growth of 72.8%; the weakest was Q1 2025, with a decline of 51.2%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $1.14 billion (Q1 2026), $1.05 billion (Q4 2025) and $1.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 1.34 Bn |
| Jun 30, 2025 | 981.39 Mn |
| Mar 31, 2025 | 820.29 Mn |
| Dec 31, 2024 | 903.13 Mn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.68 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.24 Bn |
| Jun 30, 2023 | 1.01 Bn |
| Mar 31, 2023 | 972.18 Mn |
| Dec 31, 2022 | 864.71 Mn |
| Sep 30, 2022 | 998.40 Mn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.21 Bn |
| Dec 31, 2021 | 1.53 Bn |
| Sep 30, 2021 | 1.38 Bn |
API Access
Global Industrial Enterprise Value 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=enterprise-value&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();