Hubbell (HUBB) Tax Provisions (2009 - 2026)
Hubbell (HUBB) posted Tax Provisions of $61.5 million for Q2 2026, down 11.8% from $69.7 million a year earlier but up 15.2% from the prior quarter.
Hubbell (HUBB) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Hubbell was $225.6 million, up 0.9% year-over-year; for FY2025, it was $227.2 million, up 2.3% from FY2024.
- Annual Tax Provisions has increased for four consecutive years, with a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- In prior years, Hubbell's Tax Provisions was $222.1 million in FY2024 (+3.5%), $214.6 million in FY2023 (+53.1%), $140.2 million in FY2022 (+59.0%) and $88.2 million in FY2021 (-1.8%).
- Quarterly Tax Provisions has run from a low of $22.6 million in Q4 2021 to a high of $69.7 million in Q2 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in four of the last eight quarters, with growth averaging 4.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2022, with growth of 130.2%; the weakest was Q2 2026, with a decline of 11.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $53.4 million (Q1 2026), $56.3 million (Q4 2025) and $54.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 122.20 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 198.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 183.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Hubbell | 23.97 Bn | 21.89 Bn | 613.00 Mn | 61.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.50 Mn |
| Mar 31, 2026 | 53.40 Mn |
| Dec 31, 2025 | 56.30 Mn |
| Sep 30, 2025 | 54.40 Mn |
| Jun 30, 2025 | 69.70 Mn |
| Mar 31, 2025 | 46.80 Mn |
| Dec 31, 2024 | 46.40 Mn |
| Sep 30, 2024 | 60.60 Mn |
| Jun 30, 2024 | 66.20 Mn |
| Mar 31, 2024 | 52.30 Mn |
| Dec 31, 2023 | 34.40 Mn |
| Sep 30, 2023 | 63.00 Mn |
| Jun 30, 2023 | 65.60 Mn |
| Mar 31, 2023 | 51.60 Mn |
| Dec 31, 2022 | 32.90 Mn |
| Sep 30, 2022 | 38.80 Mn |
| Jun 30, 2022 | 38.90 Mn |
| Mar 31, 2022 | 29.60 Mn |
| Dec 31, 2021 | 22.60 Mn |
| Sep 30, 2021 | 27.50 Mn |
Hubbell 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=HUBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "HUBB", "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=HUBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();