Global Industrial (GIC) Total Liabilities (2010 - 2026)
Global Industrial (GIC) recorded Total Liabilities of $285.7 million in Q2 2026, up 1.6% from $281.3 million a year earlier and up 9.4% from the prior quarter.
Global Industrial (GIC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Global Industrial reported Total Liabilities of $267.6 million, up 11.7% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $239.6 million in FY2024 (-7.2%), $258.2 million in FY2023 (+5.5%), $244.8 million in FY2022 (-2.6%) and $251.4 million in FY2021 (-6.2%).
- Quarterly Total Liabilities has ranged from $239.6 million in Q4 2024 to $322.2 million in Q2 2023 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 1.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 18.4% in Q2 2022, against a decline of 15.5% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $261.2 million (Q1 2026), $267.6 million (Q4 2025) and $286.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 5.11 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.22 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 11.92 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 16.17 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 3.75 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 12.59 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.15 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.61 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 5.97 Bn |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 285.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.70 Mn |
| Mar 31, 2026 | 261.20 Mn |
| Dec 31, 2025 | 267.60 Mn |
| Sep 30, 2025 | 286.50 Mn |
| Jun 30, 2025 | 281.30 Mn |
| Mar 31, 2025 | 248.80 Mn |
| Dec 31, 2024 | 239.60 Mn |
| Sep 30, 2024 | 252.40 Mn |
| Jun 30, 2024 | 272.10 Mn |
| Mar 31, 2024 | 257.20 Mn |
| Dec 31, 2023 | 258.20 Mn |
| Sep 30, 2023 | 281.60 Mn |
| Jun 30, 2023 | 322.20 Mn |
| Mar 31, 2023 | 244.60 Mn |
| Dec 31, 2022 | 244.80 Mn |
| Sep 30, 2022 | 272.40 Mn |
| Jun 30, 2022 | 317.70 Mn |
| Mar 31, 2022 | 275.60 Mn |
| Dec 31, 2021 | 251.40 Mn |
| Sep 30, 2021 | 276.50 Mn |
Global Industrial Total Liabilities 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=total-liabilities&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();