Powell Industries (POWL) Tax Provisions (2010 - 2026)
Powell Industries (POWL) recorded Tax Provisions of $16.96 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.9% from $15.87 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Powell Industries (POWL) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Powell Industries' Tax Provisions came in at $54.62 million as of Jun 30, 2026, up 6.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $52.8 million, up 14.2% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 70.5% (FY2020 to FY2025).
- Across earlier fiscal years, Tax Provisions came in at $46.24 million in FY2024 (+220.6%), $14.43 million in FY2023, -$3.89 million in FY2022 and $461,000 in FY2021 (-87.4%).
- The fiscal Q3 2026 figure is the highest quarterly Tax Provisions in data going back to fiscal Q3 2010.
- On a year-over-year basis, Tax Provisions rose in six of the last eight quarters, with growth averaging 25.6%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 317.2% in fiscal Q2 2024, against a decline of 61.0% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $15.9 million (Q2 2026), $5.65 million (Q1 2026) and $16.12 million (Q4 2025).
Peer Set
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 | Powell Industries | 6.72 Bn | 4.56 Bn | 95.30 Mn | 16.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.96 Mn |
| Mar 31, 2026 | 15.90 Mn |
| Dec 31, 2025 | 5.65 Mn |
| Sep 30, 2025 | 16.12 Mn |
| Jun 30, 2025 | 15.87 Mn |
| Mar 31, 2025 | 16.14 Mn |
| Dec 31, 2024 | 4.67 Mn |
| Sep 30, 2024 | 14.45 Mn |
| Jun 30, 2024 | 15.57 Mn |
| Mar 31, 2024 | 10.43 Mn |
| Dec 31, 2023 | 5.79 Mn |
| Sep 30, 2023 | 6.28 Mn |
| Jun 30, 2023 | 5.19 Mn |
| Mar 31, 2023 | 2.50 Mn |
| Dec 31, 2022 | 451,000.00 |
| Sep 30, 2022 | 1.88 Mn |
| Jun 30, 2022 | -6.14 Mn |
| Mar 31, 2022 | 1.81 Mn |
| Dec 31, 2021 | -1.44 Mn |
| Sep 30, 2021 | 599,000.00 |
API Access
Powell Industries 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=POWL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "POWL", "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=POWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();