Patrick Industries (PATK) Cash & Equivalents (2010 - 2026)
Patrick Industries' Cash & Equivalents came in at $29.16 million for Q2 2026, up 32.7% from $21.97 million a year earlier but down 22.2% from the prior quarter.
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Analysis
Patrick Industries (PATK) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Patrick Industries' Cash & Equivalents was $26.43 million, down 21.2% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $33.56 million in FY2024 (+194.2%), $11.41 million in FY2023 (-50.1%), $22.85 million in FY2022 (-81.4%) and $122.85 million in FY2021 (+174.4%).
- The five-year range for quarterly Cash & Equivalents is $11.41 million (Q4 2023) to $122.85 million (Q4 2021).
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 81.2%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2022 (growth of 934.6%), and the weakest in Q4 2022 (a decline of 81.4%).
- Business Quant data shows PATK's Cash & Equivalents at $37.47 million (Q1 2026), $26.43 million (Q4 2025) and $20.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Patrick Industries | 2.16 Bn | 2.04 Bn | 247.58 Mn | 29.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 29.16 Mn |
| Mar 29, 2026 | 37.47 Mn |
| Dec 31, 2025 | 26.43 Mn |
| Sep 28, 2025 | 20.70 Mn |
| Jun 29, 2025 | 21.97 Mn |
| Mar 30, 2025 | 86.56 Mn |
| Dec 31, 2024 | 33.56 Mn |
| Sep 29, 2024 | 52.61 Mn |
| Jun 30, 2024 | 43.96 Mn |
| Mar 31, 2024 | 17.61 Mn |
| Dec 31, 2023 | 11.41 Mn |
| Oct 1, 2023 | 16.45 Mn |
| Jul 2, 2023 | 33.91 Mn |
| Apr 2, 2023 | 30.78 Mn |
| Dec 31, 2022 | 22.85 Mn |
| Sep 25, 2022 | 53.27 Mn |
| Jun 26, 2022 | 77.03 Mn |
| Mar 27, 2022 | 63.85 Mn |
| Dec 31, 2021 | 122.85 Mn |
| Sep 26, 2021 | 44.88 Mn |
API Access
Patrick Industries Cash & Equivalents 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-and-equivalents&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();