Global Industrial (GIC) Tax Provisions (2010 - 2026)
Global Industrial (GIC) recorded Tax Provisions of $13.2 million in Q2 2026, up 51.7% from $8.7 million a year earlier and up 144.4% from the prior quarter.
Global Industrial (GIC) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Global Industrial's Tax Provisions came in at $30.9 million as of Jun 30, 2026, up 39.2% year-over-year; for FY2025, it came in at $25.6 million, up 34.0% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $19.1 million in FY2024 (-22.0%), $24.5 million in FY2023 (-4.7%), $25.7 million in FY2022 (+46.9%) and $17.5 million in FY2021 (-12.1%).
- The Q2 2026 figure is the highest quarterly Tax Provisions since Q4 2014.
- On a year-over-year basis, Tax Provisions has increased for six consecutive quarters, with growth averaging 17.3% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 630.0% in Q1 2022, against a decline of 42.6% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.4 million (Q1 2026), $5 million (Q4 2025) and $7.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn | 254.00 Mn |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn | 198.00 Mn |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn | 129.60 Mn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 146.00 Mn |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn | 153.00 Mn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | 106.20 Mn |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn | 62.40 Mn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn | 39.19 Mn |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn | 43.10 Mn |
| 10 | Global Industrial | 1.72 Bn | 1.43 Bn | 155.40 Mn | 13.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.20 Mn |
| Mar 31, 2026 | 5.40 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 7.30 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 4.60 Mn |
| Dec 31, 2024 | 3.50 Mn |
| Sep 30, 2024 | 5.40 Mn |
| Jun 30, 2024 | 6.10 Mn |
| Mar 31, 2024 | 4.10 Mn |
| Dec 31, 2023 | 6.10 Mn |
| Sep 30, 2023 | 6.80 Mn |
| Jun 30, 2023 | 7.30 Mn |
| Mar 31, 2023 | 4.30 Mn |
| Dec 31, 2022 | 4.20 Mn |
| Sep 30, 2022 | 6.60 Mn |
| Jun 30, 2022 | 7.60 Mn |
| Mar 31, 2022 | 7.30 Mn |
| Dec 31, 2021 | 5.80 Mn |
| Sep 30, 2021 | 7.20 Mn |
Global Industrial Tax Provisions 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=tax-provisions&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();