Patrick Industries (PATK) Cash & Equivalents (2010 - 2026)
Patrick Industries' Cash & Equivalents came in at $16.04 million for Q3 2026, down 22.5% from $20.7 million a year earlier and down 45.0% 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 Q3 2026 figure represents the lowest quarterly Cash & Equivalents since Q4 2023.
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with growth averaging 50.9%.
- 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 $29.16 million (Q2 2026), $37.47 million (Q1 2026) and $26.43 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn | 1.23 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | 1.35 Bn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 2.16 Bn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 866.00 Mn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 323.10 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | 610.00 Mn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 388.10 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 546.70 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 16.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 16.04 Mn |
| 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 |
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();