Patrick Industries (PATK) Accumulated Expenses (2010 - 2026)
Patrick Industries (PATK) recorded Accumulated Expenses of $125.68 million in Q3 2026, up 0.8% from $124.65 million a year earlier and up 33.5% from the prior quarter.
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Analysis
Patrick Industries (PATK) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Patrick Industries reported Accumulated Expenses of $94.41 million, down 10.7% from FY2024.
- Annual Accumulated Expenses has declined for four straight years, though with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $105.75 million in FY2024 (-5.3%), $111.71 million in FY2023 (-35.3%), $172.6 million in FY2022 (-4.9%) and $181.44 million in FY2021 (+118.1%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses since Q3 2023.
- On a year-over-year basis, Accumulated Expenses rose in three of the last eight quarters, with an average decline of 4.3%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 118.1% in Q4 2021, against a decline of 39.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $94.14 million (Q2 2026), $92.46 million (Q1 2026) and $94.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 92.47 Bn | 87.09 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 85.88 Bn | 83.61 Bn | 2.47 Bn |
| 3 | Carrier Global | 43.83 Bn | 38.20 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 39.03 Bn | 32.98 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 30.08 Bn | 26.47 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 17.47 Bn | 16.40 Bn | 562.40 Mn |
| 7 | Masco | 16.84 Bn | 14.64 Bn | 720.00 Mn |
| 8 | Allegion | 16.15 Bn | 14.78 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.63 Bn | 12.54 Bn | 494.90 Mn |
| 10 | Patrick Industries | 2.58 Bn | 2.47 Bn | 229.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 125.68 Mn |
| Jun 28, 2026 | 94.14 Mn |
| Mar 29, 2026 | 92.46 Mn |
| Dec 31, 2025 | 94.41 Mn |
| Sep 28, 2025 | 124.65 Mn |
| Jun 29, 2025 | 114.38 Mn |
| Mar 30, 2025 | 119.85 Mn |
| Dec 31, 2024 | 105.75 Mn |
| Sep 29, 2024 | 125.33 Mn |
| Jun 30, 2024 | 106.77 Mn |
| Mar 31, 2024 | 104.46 Mn |
| Dec 31, 2023 | 111.71 Mn |
| Oct 1, 2023 | 132.81 Mn |
| Jul 2, 2023 | 123.00 Mn |
| Apr 2, 2023 | 130.94 Mn |
| Dec 31, 2022 | 172.60 Mn |
| Sep 25, 2022 | 196.36 Mn |
| Jun 26, 2022 | 203.39 Mn |
| Mar 27, 2022 | 205.28 Mn |
| Dec 31, 2021 | 181.44 Mn |
API Access
Patrick Industries Accumulated Expenses 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=accumulated-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();