Patrick Industries (PATK) Other Accumulated Expenses (2011 - 2026)
Patrick Industries (PATK) reported Other Accumulated Expenses of $401,000 for Q3 2026, down 3.6% from the prior quarter.
Analysis
Patrick Industries (PATK) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Patrick Industries posted Other Accumulated Expenses of $424,000.
- The Q3 2026 figure ranks as the lowest quarterly Other Accumulated Expenses in data going back to Q4 2011.
- Per Business Quant data, the three quarters before Q3 2026 came in at $416,000 (Q2 2026), $430,000 (Q1 2026) and $424,000 (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 | 401,000.00 |
| Jun 28, 2026 | 416,000.00 |
| Mar 29, 2026 | 430,000.00 |
| Dec 31, 2025 | 424,000.00 |
| Dec 31, 2015 | 3.56 Mn |
| Dec 31, 2014 | 3.13 Mn |
| Dec 31, 2013 | 2.35 Mn |
| Dec 31, 2012 | 2.05 Mn |
| Dec 31, 2011 | 1.05 Mn |
API Access
Patrick Industries Other 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=other-accumulated-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();