Patrick Industries (PATK) Free Cash Flow (2010 - 2026)
Patrick Industries (PATK) reported Free Cash Flow of $65.28 million for Q2 2026, down 50.2% from $131.12 million a year earlier.
Patrick Industries (PATK) Free Cash Flow (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Patrick Industries' Free Cash Flow came in at $127.82 million, down 51.2% year-over-year; for FY2025, it was $246.49 million, down 1.9% from FY2024.
- Free Cash Flow has a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- By year, Free Cash Flow came in at $251.16 million in FY2024 (-28.2%), $349.69 million in FY2023 (+5.4%), $331.86 million in FY2022 (+77.2%) and $187.33 million in FY2021 (+46.3%).
- Five-year quarterly Free Cash Flow spans a low of -$41.71 million in Q1 2022 and a high of $165.48 million in Q4 2022.
- Year over year, Free Cash Flow gained in three of the last six quarters, with an average decline of 14.6%.
- The high point for year-over-year Free Cash Flow in five years was Q2 2022 (growth of 337.6%); the low point was Q3 2024 (a decline of 67.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$32.93 million (Q1 2026), $112.67 million (Q4 2025) and -$17.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.02 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.19 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 998.06 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 810.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 223.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 254.20 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 453.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 180.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 200.10 Mn |
| 10 | Patrick Industries | 2.18 Bn | 2.06 Bn | 247.58 Mn | 65.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 65.28 Mn |
| Mar 29, 2026 | -32.93 Mn |
| Dec 31, 2025 | 112.67 Mn |
| Sep 28, 2025 | -17.19 Mn |
| Jun 29, 2025 | 131.12 Mn |
| Mar 30, 2025 | 19.91 Mn |
| Dec 31, 2024 | 77.23 Mn |
| Sep 29, 2024 | 33.68 Mn |
| Jun 30, 2024 | 120.57 Mn |
| Mar 31, 2024 | 19.68 Mn |
| Dec 31, 2023 | 103.29 Mn |
| Oct 1, 2023 | 104.54 Mn |
| Jul 2, 2023 | 163.08 Mn |
| Apr 2, 2023 | -21.22 Mn |
| Dec 31, 2022 | 165.48 Mn |
| Sep 25, 2022 | 136.54 Mn |
| Jun 26, 2022 | 71.54 Mn |
| Mar 27, 2022 | -41.71 Mn |
| Dec 31, 2021 | 84.06 Mn |
| Sep 26, 2021 | 50.86 Mn |
Patrick Industries Free Cash Flow 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=free-cash-flow&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();