Taylor Devices (TAYD) EBT Margin (2010 - 2026)
Taylor Devices' EBT Margin was 6.26% in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 20.25 percentage points from 26.51% a year earlier and down 4.55 percentage points from the prior quarter.
Taylor Devices (TAYD) EBT Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Taylor Devices' EBT Margin was 17.46% through Aug 31, 2026, down 5.81 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was 21.58%, down 2.25 percentage points from FY2025.
- EBT Margin shows a five-year change of +18.55 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBT Margin was 23.83% in FY2025 (-0.66 pp), 24.50% in FY2024 (+5.83 pp), 18.67% in FY2023 (+10.39 pp) and 8.28% in FY2022 (+5.25 pp).
- The fiscal Q1 2027 figure marks the lowest quarterly EBT Margin since fiscal Q3 2022.
- Compared with a year earlier, EBT Margin was higher in three of the last eight quarters, with an average year-over-year change of -4.80 percentage points.
- The best year-over-year quarter for EBT Margin over five years was fiscal Q3 2023 (a gain of 23.71 percentage points); the worst was fiscal Q1 2027 (a drop of 20.25 percentage points).
- Per Business Quant data, TAYD's EBT Margin in the three fiscal quarters before Q1 2027 was 10.81% (Q4 2026), 24.51% (Q3 2026) and 22.87% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.31 Bn | 265.09 Bn | 4.68 Bn | 20.98% |
| 2 | Rtx | 258.54 Bn | 230.01 Bn | 5.13 Bn | 11.10% |
| 3 | Boeing | 150.32 Bn | 57.01 Bn | 2.41 Bn | -1.49% |
| 4 | Lockheed Martin | 125.94 Bn | 112.67 Bn | 2.45 Bn | 10.86% |
| 5 | General Dynamics | 92.67 Bn | 79.78 Bn | 2.18 Bn | 9.98% |
| 6 | Howmet Aerospace | 84.23 Bn | 79.83 Bn | 951.00 Mn | 25.48% |
| 7 | Motorola Solutions | 76.74 Bn | 73.08 Bn | 1.68 Bn | 23.68% |
| 8 | Northrop Grumman | 75.68 Bn | 64.93 Bn | 2.12 Bn | 10.74% |
| 9 | Honeywell International | 67.26 Bn | 19.39 Bn | 3.65 Bn | 77.47% |
| 10 | Taylor Devices | 177.23 Mn | 4.22 Mn | 2.16 Mn | 6.26% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 6.26% |
| May 31, 2026 | 10.81% |
| Feb 28, 2026 | 24.51% |
| Nov 30, 2025 | 22.87% |
| Aug 31, 2025 | 26.51% |
| May 31, 2025 | 26.70% |
| Feb 28, 2025 | 22.20% |
| Nov 30, 2024 | 14.65% |
| Aug 31, 2024 | 28.25% |
| May 31, 2024 | 23.47% |
| Feb 29, 2024 | 27.39% |
| Nov 30, 2023 | 23.72% |
| Aug 31, 2023 | 22.98% |
| May 31, 2023 | 21.76% |
| Feb 28, 2023 | 20.67% |
| Nov 30, 2022 | 18.19% |
| Aug 31, 2022 | 13.40% |
| May 31, 2022 | 18.36% |
| Feb 28, 2022 | -3.03% |
| Nov 30, 2021 | 10.15% |
Taylor Devices EBT 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=ebt-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();