Patrick Industries (PATK) EPS (Diluted) (2011 - 2026)
Patrick Industries (PATK) recorded EPS (Diluted) of $1.28 in Q2 2026, up 33.3% from $0.96 a year earlier and up 16.7% from the prior quarter.
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Analysis
Patrick Industries (PATK) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a TTM basis, Patrick Industries' EPS (Diluted) came in at $4.34 as of Jun 28, 2026, up 16.3% year-over-year; for FY2025, it came in at $3.90, down 5.1% from FY2024.
- Annual EPS (Diluted) has declined for three straight years, though with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $4.11 in FY2024 (-5.0%), $4.33 in FY2023 (-51.6%), $8.94 in FY2022 (+39.3%) and $6.42 in FY2021 (+129.1%).
- The Q2 2026 figure is the highest quarterly EPS (Diluted) since Q2 2024.
- On a year-over-year basis, EPS (Diluted) rose in three of the last eight quarters, with growth averaging 3.4%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 121.9% in Q1 2022, against a decline of 70.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.10 (Q1 2026), $0.84 (Q4 2025) and $1.01 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 4.16 |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.23 |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 12.53 |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 0.60 |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 1.12 |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 0.18 |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.60 |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.15 |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 6.30 |
| 10 | Patrick Industries | 2.22 Bn | 2.10 Bn | 247.58 Mn | 1.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.28 |
| Mar 29, 2026 | 1.10 |
| Dec 31, 2025 | 0.84 |
| Sep 28, 2025 | 1.01 |
| Jun 29, 2025 | 0.96 |
| Mar 30, 2025 | 1.11 |
| Dec 31, 2024 | 0.43 |
| Sep 29, 2024 | 1.20 |
| Jun 30, 2024 | 1.44 |
| Mar 31, 2024 | 1.06 |
| Dec 31, 2023 | 0.93 |
| Oct 1, 2023 | 1.20 |
| Jul 2, 2023 | 1.30 |
| Apr 2, 2023 | 0.89 |
| Dec 31, 2022 | 1.09 |
| Sep 25, 2022 | 1.61 |
| Jun 26, 2022 | 3.18 |
| Mar 27, 2022 | 3.02 |
| Dec 31, 2021 | 1.74 |
| Sep 26, 2021 | 1.64 |
API Access
Patrick Industries EPS (Diluted) 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=eps-diluted&ticker=PATK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();