Apogee Enterprises (APOG) Operating Expenses (2010 - 2026)
Apogee Enterprises' Operating Expenses was $56.19 million in fiscal Q1 2027 (quarter ended May 30, 2026), down 17.6% from $68.19 million a year earlier but up 6.1% from the prior quarter.
Apogee Enterprises (APOG) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Apogee Enterprises' Operating Expenses was $223 million through May 30, 2026, down 11.7% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $235 million, down 2.8% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $241.78 million in FY2025 (+3.6%), $233.3 million in FY2024 (+11.4%), $209.49 million in FY2023 (+3.4%) and $202.64 million in FY2022 (+12.5%).
- Quarterly Operating Expenses has moved between $46.97 million (fiscal Q3 2022) and $68.43 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has declined for three straight quarters, with an average decline of 0.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 136.8%); the worst was fiscal Q4 2026 (a decline of 22.6%).
- Per Business Quant data, APOG's Operating Expenses in the three fiscal quarters before Q1 2027 was $52.97 million (Q4 2026), $58.11 million (Q3 2026) and $55.72 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Apogee Enterprises | 754.89 Mn | 608.10 Mn | 75.03 Mn | 56.19 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 56.19 Mn |
| Feb 28, 2026 | 52.97 Mn |
| Nov 29, 2025 | 58.11 Mn |
| Aug 30, 2025 | 55.72 Mn |
| May 31, 2025 | 68.19 Mn |
| Mar 1, 2025 | 68.43 Mn |
| Nov 30, 2024 | 60.52 Mn |
| Aug 31, 2024 | 55.36 Mn |
| Jun 1, 2024 | 57.47 Mn |
| Mar 2, 2024 | 66.60 Mn |
| Nov 25, 2023 | 52.66 Mn |
| Aug 26, 2023 | 54.82 Mn |
| May 27, 2023 | 59.22 Mn |
| Feb 25, 2023 | 52.37 Mn |
| Nov 26, 2022 | 51.85 Mn |
| Aug 27, 2022 | 52.86 Mn |
| May 28, 2022 | 52.40 Mn |
| Feb 26, 2022 | 52.93 Mn |
| Nov 27, 2021 | 46.97 Mn |
| Aug 28, 2021 | 51.07 Mn |
Apogee Enterprises Operating 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=operating-expenses&ticker=APOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=APOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();