Patrick Industries (PATK) Accumulated Expenses (2010 - 2026)
Patrick Industries (PATK) recorded Accumulated Expenses of $94.14 million in Q2 2026, down 17.7% from $114.38 million a year earlier but up 1.8% from the prior quarter.
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%).
- Quarterly Accumulated Expenses has ranged from $92.46 million in Q1 2026 to $205.28 million in Q1 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- 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 $92.46 million (Q1 2026), $94.41 million (Q4 2025) and $124.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Patrick Industries | 2.18 Bn | 2.06 Bn | 247.58 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 26, 2021 | 145.87 Mn |
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_KEY
import 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();