Patrick Industries (PATK) Cash from Operations (2010 - 2026)
Patrick Industries (PATK) reported Cash from Operations of $82.92 million for Q2 2026, down 44.5% from $149.39 million a year earlier.
Patrick Industries (PATK) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Patrick Industries' Cash from Operations came in at $208.85 million, down 39.2% year-over-year; for FY2025, it was $329.41 million, up 0.8% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- By year, Cash from Operations came in at $326.84 million in FY2024 (-20.0%), $408.67 million in FY2023 (-0.7%), $411.74 million in FY2022 (+63.3%) and $252.13 million in FY2021 (+57.4%).
- Five-year quarterly Cash from Operations spans a low of -$23.04 million in Q1 2022 and a high of $181.93 million in Q4 2022.
- Year over year, Cash from Operations gained in three of the last seven quarters, with an average decline of 20.4%.
- The high point for year-over-year Cash from Operations in five years was Q2 2022 (growth of 242.1%); the low point was Q3 2025 (a decline of 82.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$14.01 million (Q1 2026), $130.84 million (Q4 2025) and $9.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.10 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.29 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.14 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 927.00 Mn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 267.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 344.00 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 496.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 198.40 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 241.80 Mn |
| 10 | Patrick Industries | 2.18 Bn | 2.06 Bn | 247.58 Mn | 82.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 82.92 Mn |
| Mar 29, 2026 | -14.01 Mn |
| Dec 31, 2025 | 130.84 Mn |
| Sep 28, 2025 | 9.10 Mn |
| Jun 29, 2025 | 149.39 Mn |
| Mar 30, 2025 | 40.08 Mn |
| Dec 31, 2024 | 102.65 Mn |
| Sep 29, 2024 | 51.53 Mn |
| Jun 30, 2024 | 137.48 Mn |
| Mar 31, 2024 | 35.18 Mn |
| Dec 31, 2023 | 114.84 Mn |
| Oct 1, 2023 | 115.48 Mn |
| Jul 2, 2023 | 179.30 Mn |
| Apr 2, 2023 | -950,000.00 |
| Dec 31, 2022 | 181.93 Mn |
| Sep 25, 2022 | 155.51 Mn |
| Jun 26, 2022 | 97.34 Mn |
| Mar 27, 2022 | -23.04 Mn |
| Dec 31, 2021 | 104.71 Mn |
| Sep 26, 2021 | 68.67 Mn |
Patrick Industries Cash from Operations 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=cash-from-operations&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();