Taylor Devices (TAYD) Operating Margin (2010 - 2026)
Taylor Devices (TAYD) reported Operating Margin of 0.53% for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 22.11 percentage points from 22.64% a year earlier and down 5.65 percentage points from the prior quarter.
Taylor Devices (TAYD) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Taylor Devices' Operating Margin came in at 13.16%, down 6.95 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was 17.63%, down 3.17 percentage points from FY2025.
- Operating Margin has a five-year change of +28.08 percentage points (FY2021 to FY2026).
- By fiscal year, Operating Margin came in at 20.80% in FY2025 (-0.47 pp), 21.26% in FY2024 (+4.32 pp), 16.94% in FY2023 (+8.93 pp) and 8.01% in FY2022 (+18.46 pp).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Operating Margin since fiscal Q3 2022.
- Year over year, Operating Margin gained in three of the last eight quarters, with an average year-over-year change of -5.44 percentage points.
- The high point for year-over-year Operating Margin in five years was fiscal Q4 2022 (a gain of 32.80 percentage points); the low point was fiscal Q1 2027 (a drop of 22.11 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 6.17% (Q4 2026), 20.73% (Q3 2026) and 19.21% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.08 Bn | 264.86 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 258.96 Bn | 230.43 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 150.62 Bn | 57.31 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 126.44 Bn | 113.17 Bn | 2.45 Bn | 12.36% |
| 5 | General Dynamics | 92.89 Bn | 80.00 Bn | 2.18 Bn | 10.36% |
| 6 | Howmet Aerospace | 83.50 Bn | 79.10 Bn | 951.00 Mn | 27.92% |
| 7 | Motorola Solutions | 76.80 Bn | 73.14 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 76.06 Bn | 65.30 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.19 Bn | 19.31 Bn | 3.65 Bn | 18.37% |
| 10 | Taylor Devices | 177.82 Mn | 4.80 Mn | 2.16 Mn | 0.53% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 0.53% |
| May 31, 2026 | 6.17% |
| Feb 28, 2026 | 20.73% |
| Nov 30, 2025 | 19.21% |
| Aug 31, 2025 | 22.64% |
| May 31, 2025 | 24.15% |
| Feb 28, 2025 | 19.12% |
| Nov 30, 2024 | 11.04% |
| Aug 31, 2024 | 25.00% |
| May 31, 2024 | 20.83% |
| Feb 29, 2024 | 24.43% |
| Nov 30, 2023 | 19.86% |
| Aug 31, 2023 | 19.34% |
| May 31, 2023 | 19.30% |
| Feb 28, 2023 | 18.25% |
| Nov 30, 2022 | 16.73% |
| Aug 31, 2022 | 12.96% |
| May 31, 2022 | 18.28% |
| Feb 28, 2022 | -3.11% |
| Nov 30, 2021 | 10.06% |
Taylor Devices Operating Margin 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-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "TAYD", "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-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();