Azz (AZZ) Operating Expenses (2010 - 2026)
Azz's Operating Expenses was $35.14 million in fiscal Q1 2027 (quarter ended May 31, 2026), up 1.6% from $34.58 million a year earlier and up 15.3% from the prior quarter.
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Analysis
Azz (AZZ) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Azz's Operating Expenses was $130.89 million through May 31, 2026, down 11.5% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $130.34 million, down 10.9% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $146.32 million in FY2025 (+3.1%), $141.86 million in FY2024 (+16.0%), $122.31 million in FY2023 (+82.7%) and $66.93 million in FY2022 (-11.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Operating Expenses since fiscal Q4 2025.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 3.8%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2023 (growth of 127.0%); the worst was fiscal Q2 2022 (a decline of 63.7%).
- Per Business Quant data, AZZ's Operating Expenses in the three fiscal quarters before Q1 2027 was $30.46 million (Q4 2026), $32.46 million (Q3 2026) and $32.83 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Azz | 4.03 Bn | 4.03 Bn | 112.17 Mn | 35.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 35.14 Mn |
| Feb 28, 2026 | 30.46 Mn |
| Nov 30, 2025 | 32.46 Mn |
| Aug 31, 2025 | 32.83 Mn |
| May 31, 2025 | 34.58 Mn |
| Feb 28, 2025 | 38.28 Mn |
| Nov 30, 2024 | 39.24 Mn |
| Aug 31, 2024 | 35.87 Mn |
| May 31, 2024 | 32.92 Mn |
| Feb 29, 2024 | 38.77 Mn |
| Nov 30, 2023 | 35.33 Mn |
| Aug 31, 2023 | 36.24 Mn |
| May 31, 2023 | 31.52 Mn |
| Feb 28, 2023 | 25.06 Mn |
| Nov 30, 2022 | 27.69 Mn |
| Aug 31, 2022 | 37.41 Mn |
| May 31, 2022 | 32.14 Mn |
| Feb 28, 2022 | 19.45 Mn |
| Nov 30, 2021 | 16.28 Mn |
| Aug 31, 2021 | 16.48 Mn |
API Access
Azz 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=AZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AZZ", "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=AZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();