Patrick Industries (PATK) Income After Tax (2011 - 2026)
Patrick Industries (PATK) recorded Income After Tax of $43.42 million in Q2 2026, up 33.9% from $32.44 million a year earlier and up 10.0% from the prior quarter.
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Analysis
Patrick Industries (PATK) Income After Tax (2011 - 2026) Analysis & Trends
On a TTM basis, Patrick Industries' Income After Tax came in at $147.28 million as of Jun 28, 2026, up 16.8% year-over-year; for FY2025, it was $135.06 million, down 2.4% from FY2024.
- Annual Income After Tax has declined for three straight years, though with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Across earlier years, Income After Tax came in at $138.4 million in FY2024 (-3.1%), $142.9 million in FY2023 (-56.5%), $328.2 million in FY2022 (+45.9%) and $224.92 million in FY2021 (+131.7%).
- The Q2 2026 figure is the highest quarterly Income After Tax since Q2 2024.
- On a year-over-year basis, Income After Tax has increased for three consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 137.1% in Q1 2022, against a decline of 73.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.48 million (Q1 2026), $29.08 million (Q4 2025) and $35.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn | 1.07 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 752.00 Mn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | -2.54 Bn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 489.04 Mn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 426.00 Mn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 149.80 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | 240.00 Mn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 220.90 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 207.40 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 21.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 21.06 Mn |
| Jun 28, 2026 | 43.42 Mn |
| Mar 29, 2026 | 39.48 Mn |
| Dec 31, 2025 | 29.08 Mn |
| Sep 28, 2025 | 35.30 Mn |
| Jun 29, 2025 | 32.44 Mn |
| Mar 30, 2025 | 38.24 Mn |
| Dec 31, 2024 | 14.56 Mn |
| Sep 29, 2024 | 40.87 Mn |
| Jun 30, 2024 | 47.88 Mn |
| Mar 31, 2024 | 35.09 Mn |
| Dec 31, 2023 | 30.82 Mn |
| Oct 1, 2023 | 39.55 Mn |
| Jul 2, 2023 | 42.36 Mn |
| Apr 2, 2023 | 30.17 Mn |
| Dec 31, 2022 | 40.18 Mn |
| Sep 25, 2022 | 58.82 Mn |
| Jun 26, 2022 | 116.52 Mn |
| Mar 27, 2022 | 112.67 Mn |
| Dec 31, 2021 | 61.02 Mn |
API Access
Patrick Industries Income After Tax 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=profit-after-tax&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();