Patrick Industries (PATK) Tax Provisions (2011 - 2026)
Patrick Industries (PATK) recorded Tax Provisions of $14.64 million in Q2 2026, up 33.1% from $11 million a year earlier and up 113.5% from the prior quarter.
Patrick Industries (PATK) Tax Provisions (2011 - 2026) Analysis & Trends
On a TTM basis, Patrick Industries' Tax Provisions came in at $44.28 million as of Jun 28, 2026, up 14.2% year-over-year; for FY2025, it was $42.01 million, up 4.6% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $40.17 million in FY2024 (-16.9%), $48.36 million in FY2023 (-54.9%), $107.21 million in FY2022 (+55.6%) and $68.91 million in FY2021 (+106.9%).
- The Q2 2026 figure is the highest quarterly Tax Provisions since Q2 2024.
- On a year-over-year basis, Tax Provisions rose in three of the last eight quarters, with growth averaging 11.2%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 249.3% in Q1 2022, against a decline of 77.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.85 million (Q1 2026), $10.25 million (Q4 2025) and $12.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 218.20 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 124.64 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 180.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 98.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 53.00 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 107.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 43.30 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 76.00 Mn |
| 10 | Patrick Industries | 2.18 Bn | 2.06 Bn | 247.58 Mn | 14.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 14.64 Mn |
| Mar 29, 2026 | 6.85 Mn |
| Dec 31, 2025 | 10.25 Mn |
| Sep 28, 2025 | 12.54 Mn |
| Jun 29, 2025 | 11.00 Mn |
| Mar 30, 2025 | 8.22 Mn |
| Dec 31, 2024 | 6.05 Mn |
| Sep 29, 2024 | 13.50 Mn |
| Jun 30, 2024 | 16.46 Mn |
| Mar 31, 2024 | 4.16 Mn |
| Dec 31, 2023 | 11.18 Mn |
| Oct 1, 2023 | 14.65 Mn |
| Jul 2, 2023 | 14.96 Mn |
| Apr 2, 2023 | 7.58 Mn |
| Dec 31, 2022 | 11.68 Mn |
| Sep 25, 2022 | 18.64 Mn |
| Jun 26, 2022 | 42.70 Mn |
| Mar 27, 2022 | 34.20 Mn |
| Dec 31, 2021 | 16.98 Mn |
| Sep 26, 2021 | 20.44 Mn |
Patrick 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=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "PATK", "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=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();