Apogee Enterprises (APOG) Price to Earnings (2012 - 2026)
Apogee Enterprises' (APOG) Price to Earnings came in at 12.56 for fiscal Q2 2027 (quarter ended Aug 29, 2026), down 41.0% from 21.30 a year earlier but up 6.1% from the prior quarter.
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Analysis
Apogee Enterprises (APOG) Price to Earnings (2012 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Apogee Enterprises' Price to Earnings stood at 15.61, up 29.3% from FY2025.
- In prior fiscal years, Apogee Enterprises' Price to Earnings was 12.07 in FY2025 (-4.6%), 12.66 in FY2024 (+29.3%), 9.79 in FY2023 (-96.8%) and 309.55 in FY2022 (+396.9%).
- Quarterly Price to Earnings has run from a low of 8.15 in fiscal Q1 2024 to a high of 309.64 in fiscal Q4 2022 over five years.
- On a year-over-year basis, Price to Earnings increased in five of the last eight quarters, with growth averaging 15.8%.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q4 2022, with growth of 397.0%; the weakest was fiscal Q4 2023, with a decline of 96.8%.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 11.84 (Q1 2027), 15.61 (Q4 2026) and 19.57 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn |
| 10 | Apogee Enterprises | 947.20 Mn | 803.40 Mn | 96.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 12.56 |
| May 30, 2026 | 11.84 |
| Feb 28, 2026 | 15.61 |
| Nov 29, 2025 | 19.57 |
| Aug 30, 2025 | 21.30 |
| May 31, 2025 | 16.21 |
| Mar 1, 2025 | 12.07 |
| Nov 30, 2024 | 18.79 |
| Aug 31, 2024 | 14.05 |
| Jun 1, 2024 | 13.31 |
| Mar 2, 2024 | 12.66 |
| Nov 25, 2023 | 9.78 |
| Aug 26, 2023 | 10.91 |
| May 27, 2023 | 8.15 |
| Feb 25, 2023 | 9.79 |
| Nov 26, 2022 | 16.20 |
| Aug 27, 2022 | 17.08 |
| May 28, 2022 | 61.57 |
| Feb 26, 2022 | 309.64 |
| Aug 28, 2021 | 308.07 |
API Access
Apogee Enterprises Price to Earnings 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=price-to-earnings&ticker=APOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "APOG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=APOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();