Patrick Industries (PATK) Retained Earnings (2010 - 2026)
Patrick Industries (PATK) recorded Retained Earnings of $930.14 million in Q2 2026, down 1.2% from $941.27 million a year earlier and down 5.8% from the prior quarter.
Patrick Industries (PATK) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Patrick Industries reported Retained Earnings of $976.96 million, up 5.4% from FY2024.
- Annual Retained Earnings has increased for 12 straight years, with a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $926.94 million in FY2024 (+9.9%), $843.08 million in FY2023 (+11.1%), $758.86 million in FY2022 (+47.7%) and $513.73 million in FY2021 (+42.6%).
- The Q2 2026 figure is the lowest quarterly Retained Earnings since Q4 2024.
- On a year-over-year basis, Retained Earnings rose in seven of the last eight quarters, with growth averaging 6.0%.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 58.3% in Q3 2022, against a decline of 1.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $986.96 million (Q1 2026), $976.96 million (Q4 2025) and $963.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 10.53 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 3.34 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 12.54 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | -117.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 1.93 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | -849.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.35 Bn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 7.63 Bn |
| 10 | Patrick Industries | 2.22 Bn | 2.11 Bn | 247.58 Mn | 930.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 930.14 Mn |
| Mar 29, 2026 | 986.96 Mn |
| Dec 31, 2025 | 976.96 Mn |
| Sep 28, 2025 | 963.11 Mn |
| Jun 29, 2025 | 941.27 Mn |
| Mar 30, 2025 | 943.78 Mn |
| Dec 31, 2024 | 926.94 Mn |
| Sep 29, 2024 | 929.94 Mn |
| Jun 30, 2024 | 901.39 Mn |
| Mar 31, 2024 | 865.64 Mn |
| Dec 31, 2023 | 843.08 Mn |
| Oct 1, 2023 | 830.43 Mn |
| Jul 2, 2023 | 801.30 Mn |
| Apr 2, 2023 | 775.77 Mn |
| Dec 31, 2022 | 758.86 Mn |
| Sep 25, 2022 | 752.94 Mn |
| Jun 26, 2022 | 707.81 Mn |
| Mar 27, 2022 | 612.98 Mn |
| Dec 31, 2021 | 513.73 Mn |
| Sep 26, 2021 | 475.69 Mn |
Patrick Industries Retained Earnings 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=retained-earnings&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();