Allegion (ALLE) Operating Expenses (2013 - 2026)
Allegion's Operating Expenses came in at $262.8 million for Q2 2026, up 6.5% from $246.8 million a year earlier and up 1.4% from the prior quarter.
Allegion (ALLE) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Allegion reported Operating Expenses of $1.03 billion, up 11.5% year-over-year; for FY2025, it came in at $978.8 million, up 10.3% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $887.8 million in FY2024 (+2.6%), $865.6 million in FY2023 (+17.6%), $736 million in FY2022 (+9.1%) and $674.7 million in FY2021 (+6.1%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2013.
- Year-over-year, Operating Expenses has increased for nine consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 29.4%), and the weakest in Q2 2022 (a decline of 4.1%).
- Business Quant data shows ALLE's Operating Expenses at $259.2 million (Q1 2026), $249.9 million (Q4 2025) and $256 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Lennox International | 12.27 Bn | 12.07 Bn | 539.50 Mn | 183.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.80 Mn |
| Mar 31, 2026 | 259.20 Mn |
| Dec 31, 2025 | 249.90 Mn |
| Sep 30, 2025 | 256.00 Mn |
| Jun 30, 2025 | 246.80 Mn |
| Mar 31, 2025 | 226.10 Mn |
| Dec 31, 2024 | 232.10 Mn |
| Sep 30, 2024 | 217.10 Mn |
| Jun 30, 2024 | 219.30 Mn |
| Mar 31, 2024 | 219.30 Mn |
| Dec 31, 2023 | 218.10 Mn |
| Sep 30, 2023 | 210.20 Mn |
| Jun 30, 2023 | 217.30 Mn |
| Mar 31, 2023 | 220.00 Mn |
| Dec 31, 2022 | 191.30 Mn |
| Sep 30, 2022 | 205.10 Mn |
| Jun 30, 2022 | 167.90 Mn |
| Mar 31, 2022 | 171.70 Mn |
| Dec 31, 2021 | 171.40 Mn |
| Sep 30, 2021 | 162.10 Mn |
Allegion 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=ALLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALLE", "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=ALLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();