Azz (AZZ) Return on Sales [ROS] (2010 - 2026)
Azz (AZZ) recorded Return on Sales [ROS] of 17.17% in fiscal Q1 2027 (quarter ended May 31, 2026), up 0.69 percentage points from 16.48% a year earlier and up 2.34 percentage points from the prior quarter.
Azz (AZZ) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Azz's Return on Sales [ROS] came in at 16.23% as of May 31, 2026, up 1.34 percentage points year-over-year; for FY2026 (ended Feb 28, 2026), it was 16.04%, up 1.06 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for three straight fiscal years, with a five-year change of +6.16 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 14.98% in FY2025 (+0.57 pp), 14.41% in FY2024 (+1.29 pp), 13.12% in FY2023 (-1.95 pp) and 15.07% in FY2022 (+5.19 pp).
- The fiscal Q1 2027 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q2 2011.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +0.90 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 14.87 percentage points in fiscal Q2 2022, against a drop of 3.60 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 14.83% (Q4 2026), 16.32% (Q3 2026) and 16.41% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 26.67% |
| 10 | Azz | 4.06 Bn | 4.06 Bn | 112.17 Mn | 17.17% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 17.17% |
| Feb 28, 2026 | 14.83% |
| Nov 30, 2025 | 16.32% |
| Aug 31, 2025 | 16.41% |
| May 31, 2025 | 16.48% |
| Feb 28, 2025 | 11.49% |
| Nov 30, 2024 | 14.50% |
| Aug 31, 2024 | 16.54% |
| May 31, 2024 | 16.88% |
| Feb 29, 2024 | 11.53% |
| Nov 30, 2023 | 13.84% |
| Aug 31, 2023 | 15.31% |
| May 31, 2023 | 16.76% |
| Feb 28, 2023 | 10.76% |
| Nov 30, 2022 | 12.16% |
| Aug 31, 2022 | 15.77% |
| May 31, 2022 | 13.47% |
| Feb 28, 2022 | 12.74% |
| Nov 30, 2021 | 15.76% |
| Aug 31, 2021 | 15.19% |
Azz Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();