Patrick Industries (PATK) Tax Provisions (2011 - 2026)
Patrick Industries (PATK) recorded Tax Provisions of $9.95 million in Q3 2026, down 20.6% from $12.54 million a year earlier and down 32.0% from the prior quarter.
Patrick Industries (PATK) Tax Provisions (2011 - 2026) Analysis & Trends
On a TTM basis, Patrick Industries' Tax Provisions came in at $41.69 million as of Sep 27, 2026, up 10.3% 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%).
- Quarterly Tax Provisions has ranged from $4.16 million in Q1 2024 to $42.7 million in Q2 2022 over the past five years.
- On a year-over-year basis, Tax Provisions rose in three of the last eight quarters, with growth averaging 9.6%.
- 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 $14.64 million (Q2 2026), $6.85 million (Q1 2026) and $10.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn | 219.90 Mn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 165.00 Mn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | 177.00 Mn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 146.01 Mn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 126.00 Mn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 77.60 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | 82.00 Mn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 46.90 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 62.50 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 9.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 9.95 Mn |
| 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 |
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();