Global Industrial (GIC) Current Assets (2010 - 2026)
Global Industrial (GIC) posted Current Assets of $449.3 million for Q2 2026, up 14.0% from $394 million a year earlier and up 11.6% from the prior quarter.
Global Industrial (GIC) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Global Industrial's Current Assets came in at $396.5 million, up 12.5% from FY2024.
- Annual Current Assets has increased for five consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior years, Global Industrial's Current Assets was $352.6 million in FY2024 (+6.9%), $329.8 million in FY2023 (+1.3%), $325.7 million in FY2022 (+8.1%) and $301.4 million in FY2021 (+14.3%).
- The Q2 2026 figure stands as the highest quarterly Current Assets since Q4 2018.
- On a year-over-year basis, Current Assets has increased in each of the last 11 quarters, with growth averaging 9.8% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q2 2022, with growth of 27.3%; the weakest was Q2 2023, with a decline of 3.4%.
- According to Business Quant data, Current Assets for the three prior quarters was $402.7 million (Q1 2026), $396.5 million (Q4 2025) and $404.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 6.00 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 3.69 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 10.17 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 2.57 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 4.92 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 10.75 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.58 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 3.45 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 2.46 Bn |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 449.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 449.30 Mn |
| Mar 31, 2026 | 402.70 Mn |
| Dec 31, 2025 | 396.50 Mn |
| Sep 30, 2025 | 404.20 Mn |
| Jun 30, 2025 | 394.00 Mn |
| Mar 31, 2025 | 372.90 Mn |
| Dec 31, 2024 | 352.60 Mn |
| Sep 30, 2024 | 358.90 Mn |
| Jun 30, 2024 | 366.90 Mn |
| Mar 31, 2024 | 337.70 Mn |
| Dec 31, 2023 | 329.80 Mn |
| Sep 30, 2023 | 337.90 Mn |
| Jun 30, 2023 | 359.40 Mn |
| Mar 31, 2023 | 335.40 Mn |
| Dec 31, 2022 | 325.70 Mn |
| Sep 30, 2022 | 346.30 Mn |
| Jun 30, 2022 | 372.10 Mn |
| Mar 31, 2022 | 345.00 Mn |
| Dec 31, 2021 | 301.40 Mn |
| Sep 30, 2021 | 322.00 Mn |
Global Industrial Current Assets 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=current-assets&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();