Patrick Industries (PATK) Goodwill (2010 - 2026)
Patrick Industries (PATK) posted Goodwill of $839.72 million for Q2 2026, up 4.7% from $801.79 million a year earlier and unchanged from the prior quarter.
Patrick Industries (PATK) Goodwill (2010 - 2026) Analysis & Trends
At the end of FY2025, Patrick Industries' Goodwill came in at $840.1 million, up 5.4% from FY2024.
- Annual Goodwill has increased for 15 consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In prior years, Patrick Industries' Goodwill was $797.24 million in FY2024 (+25.1%), $637.39 million in FY2023 (+1.3%), $629.26 million in FY2022 (+14.1%) and $551.38 million in FY2021 (+39.3%).
- Quarterly Goodwill has run from a low of $478.96 million in Q3 2021 to a high of $840.1 million in Q4 2025 over five years.
- On a year-over-year basis, Goodwill has increased in each of the last 23 quarters, with growth averaging 9.9% over the last eight quarters.
- The year-over-year growth in Goodwill has ranged between 1.3% (Q4 2023) and 48.0% (Q1 2022) over the last five years.
- According to Business Quant data, Goodwill for the three prior quarters was $839.72 million (Q1 2026), $840.1 million (Q4 2025) and $815.12 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 | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Patrick Industries | 2.22 Bn | 2.10 Bn | 247.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 839.72 Mn |
| Mar 29, 2026 | 839.72 Mn |
| Dec 31, 2025 | 840.10 Mn |
| Sep 28, 2025 | 815.12 Mn |
| Jun 29, 2025 | 801.79 Mn |
| Mar 30, 2025 | 801.87 Mn |
| Dec 31, 2024 | 797.24 Mn |
| Sep 29, 2024 | 789.42 Mn |
| Jun 30, 2024 | 758.32 Mn |
| Mar 31, 2024 | 755.73 Mn |
| Dec 31, 2023 | 637.39 Mn |
| Oct 1, 2023 | 637.39 Mn |
| Jul 2, 2023 | 633.18 Mn |
| Apr 2, 2023 | 627.31 Mn |
| Dec 31, 2022 | 629.26 Mn |
| Sep 25, 2022 | 597.63 Mn |
| Jun 26, 2022 | 605.09 Mn |
| Mar 27, 2022 | 600.12 Mn |
| Dec 31, 2021 | 551.38 Mn |
| Sep 26, 2021 | 478.96 Mn |
Patrick Industries Goodwill 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=goodwill&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();