Patrick Industries (PATK) Total Liabilities (2010 - 2026)
Patrick Industries (PATK) posted Total Liabilities of $2.06 billion for Q3 2026, up 4.0% from $1.98 billion a year earlier but down 1.1% from the prior quarter.
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Analysis
Patrick Industries (PATK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Patrick Industries' Total Liabilities came in at $1.89 billion, unchanged from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior years, Patrick Industries' Total Liabilities was $1.89 billion in FY2024 (+24.7%), $1.52 billion in FY2023 (-17.0%), $1.83 billion in FY2022 (-3.0%) and $1.88 billion in FY2021 (+57.7%).
- Quarterly Total Liabilities has run from a low of $1.52 billion in Q4 2023 to a high of $2.17 billion in Q1 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 75.2%; the weakest was Q2 2023, with a decline of 19.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.08 billion (Q2 2026), $2.03 billion (Q1 2026) and $1.89 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn | 14.76 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn | 23.17 Bn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn | 6.47 Bn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn | 16.74 Bn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn | 6.67 Bn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn | 5.79 Bn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn | 3.29 Bn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn | 4.59 Bn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn | 2.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 2.06 Bn |
| Jun 28, 2026 | 2.08 Bn |
| Mar 29, 2026 | 2.03 Bn |
| Dec 31, 2025 | 1.89 Bn |
| Sep 28, 2025 | 1.98 Bn |
| Jun 29, 2025 | 1.94 Bn |
| Mar 30, 2025 | 2.05 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 29, 2024 | 1.99 Bn |
| Jun 30, 2024 | 1.91 Bn |
| Mar 31, 2024 | 1.97 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Oct 1, 2023 | 1.62 Bn |
| Jul 2, 2023 | 1.71 Bn |
| Apr 2, 2023 | 1.85 Bn |
| Dec 31, 2022 | 1.83 Bn |
| Sep 25, 2022 | 1.95 Bn |
| Jun 26, 2022 | 2.13 Bn |
| Mar 27, 2022 | 2.17 Bn |
| Dec 31, 2021 | 1.88 Bn |
API Access
Patrick Industries Total Liabilities 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=total-liabilities&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();