Azz (AZZ) EBITDA (2010 - 2026)
Azz (AZZ) recorded EBITDA of $100.55 million in fiscal Q1 2027 (quarter ended May 31, 2026), up 10.0% from $91.38 million a year earlier and up 25.4% from the prior quarter.
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Analysis
Azz (AZZ) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Azz's EBITDA came in at $363.85 million as of May 31, 2026, up 13.7% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $354.67 million, up 11.3% from FY2025.
- Annual EBITDA has increased for five straight fiscal years, with a five-year compound annual growth rate of 34.8% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $318.57 million in FY2025 (+5.8%), $301.02 million in FY2024 (+21.3%), $248.23 million in FY2023 (+123.0%) and $111.3 million in FY2022 (+39.9%).
- The fiscal Q1 2027 figure is the highest quarterly EBITDA in data going back to fiscal Q3 2011.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 705.9% in fiscal Q4 2022, against a decline of 14.1% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $80.21 million (Q4 2026), $92.26 million (Q3 2026) and $90.83 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Azz | 4.03 Bn | 4.03 Bn | 112.17 Mn | 100.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 100.55 Mn |
| Feb 28, 2026 | 80.21 Mn |
| Nov 30, 2025 | 92.26 Mn |
| Aug 31, 2025 | 90.83 Mn |
| May 31, 2025 | 91.38 Mn |
| Feb 28, 2025 | 61.26 Mn |
| Nov 30, 2024 | 79.17 Mn |
| Aug 31, 2024 | 88.07 Mn |
| May 31, 2024 | 90.07 Mn |
| Feb 29, 2024 | 62.66 Mn |
| Nov 30, 2023 | 73.18 Mn |
| Aug 31, 2023 | 81.16 Mn |
| May 31, 2023 | 84.02 Mn |
| Feb 28, 2023 | 54.97 Mn |
| Nov 30, 2022 | 45.69 Mn |
| Aug 31, 2022 | 86.04 Mn |
| May 31, 2022 | 39.88 Mn |
| Feb 28, 2022 | 20.59 Mn |
| Nov 30, 2021 | 33.41 Mn |
| Aug 31, 2021 | 24.79 Mn |
API Access
Azz EBITDA 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=ebitda&ticker=AZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();