Global Industrial (GIC) Inventory (2010 - 2026)
Global Industrial (GIC) recorded Inventory of $163.6 million in Q2 2026, down 4.4% from $171.2 million a year earlier and down 7.8% from the prior quarter.
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Analysis
Global Industrial (GIC) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Global Industrial reported Inventory of $174.6 million, up 4.5% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $167.1 million in FY2024 (+10.8%), $150.8 million in FY2023 (-15.9%), $179.4 million in FY2022 (+3.8%) and $172.8 million in FY2021 (+30.6%).
- The Q2 2026 figure is the lowest quarterly Inventory since Q1 2024.
- On a year-over-year basis, Inventory rose in five of the last eight quarters, with growth averaging 4.0%.
- Peak year-over-year performance for Inventory in the last five years was growth of 56.5% in Q2 2022, against a decline of 20.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $177.4 million (Q1 2026), $174.6 million (Q4 2025) and $174.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 2.37 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.74 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 4.68 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 192.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 2.33 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 4.42 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 508.98 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.89 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 828.70 Mn |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 163.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.60 Mn |
| Mar 31, 2026 | 177.40 Mn |
| Dec 31, 2025 | 174.60 Mn |
| Sep 30, 2025 | 174.60 Mn |
| Jun 30, 2025 | 171.20 Mn |
| Mar 31, 2025 | 178.60 Mn |
| Dec 31, 2024 | 167.10 Mn |
| Sep 30, 2024 | 165.30 Mn |
| Jun 30, 2024 | 172.90 Mn |
| Mar 31, 2024 | 162.80 Mn |
| Dec 31, 2023 | 150.80 Mn |
| Sep 30, 2023 | 153.80 Mn |
| Jun 30, 2023 | 164.30 Mn |
| Mar 31, 2023 | 166.10 Mn |
| Dec 31, 2022 | 179.40 Mn |
| Sep 30, 2022 | 189.40 Mn |
| Jun 30, 2022 | 205.70 Mn |
| Mar 31, 2022 | 204.40 Mn |
| Dec 31, 2021 | 172.80 Mn |
| Sep 30, 2021 | 141.40 Mn |
API Access
Global Industrial Inventory 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=inventory&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();