Acuity Inc. (De) (AYI) Operating Expenses (2009 - 2026)
Acuity Inc. (De) (AYI) reported Operating Expenses of $413.1 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 4.0% from $430.4 million a year earlier but up 6.6% from the prior quarter.
Acuity Inc. (De) (AYI) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Acuity Inc. (De)'s Operating Expenses came in at $1.6 billion, up 11.7% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $1.51 billion, up 23.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $1.23 billion in FY2024 (-0.9%), $1.24 billion in FY2023 (+6.6%), $1.16 billion in FY2022 (+11.0%) and $1.05 billion in FY2021 (-0.1%).
- Five-year quarterly Operating Expenses spans a low of $270.7 million in fiscal Q1 2022 and a high of $430.4 million in fiscal Q3 2025.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 15.1%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2025 (growth of 40.2%); the low point was fiscal Q3 2026 (a decline of 4.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $387.4 million (Q2 2026), $393.4 million (Q1 2026) and $410.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Acuity Inc. (De) | 9.33 Bn | 7.85 Bn | 606.40 Mn | 413.10 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 413.10 Mn |
| Feb 28, 2026 | 387.40 Mn |
| Nov 30, 2025 | 393.40 Mn |
| Aug 31, 2025 | 410.40 Mn |
| May 31, 2025 | 430.40 Mn |
| Feb 28, 2025 | 357.80 Mn |
| Nov 30, 2024 | 316.00 Mn |
| Aug 31, 2024 | 331.70 Mn |
| May 31, 2024 | 306.90 Mn |
| Feb 29, 2024 | 294.30 Mn |
| Nov 30, 2023 | 295.50 Mn |
| Aug 31, 2023 | 333.00 Mn |
| May 31, 2023 | 304.00 Mn |
| Feb 28, 2023 | 295.20 Mn |
| Nov 30, 2022 | 307.60 Mn |
| Aug 31, 2022 | 312.90 Mn |
| May 31, 2022 | 302.40 Mn |
| Feb 28, 2022 | 277.00 Mn |
| Nov 30, 2021 | 270.70 Mn |
| Aug 31, 2021 | 286.50 Mn |
Acuity Inc. (De) 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=AYI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AYI", "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=AYI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();