Taylor Devices (TAYD) Gross Margin (2010 - 2026)
Taylor Devices (TAYD) posted Gross Margin of 44.20% for fiscal Q4 2026 (quarter ended May 31, 2026), down 4.38 percentage points from 48.58% a year earlier but up 4.00 percentage points from the prior quarter.
Powered by 
Analysis
Taylor Devices (TAYD) Gross Margin (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Taylor Devices' Gross Margin came in at 44.05%, down 2.35 percentage points from FY2025.
- Annual Gross Margin shows a five-year change of +29.95 percentage points (FY2021 to FY2026).
- In prior fiscal years, Taylor Devices' Gross Margin was 46.40% in FY2025 (-0.35 pp), 46.74% in FY2024 (+4.58 pp), 42.16% in FY2023 (+10.98 pp) and 31.19% in FY2022 (+17.08 pp).
- Quarterly Gross Margin has run from a low of 21.76% in fiscal Q1 2022 to a high of 48.83% in fiscal Q4 2024 over five years.
- On a year-over-year basis, Gross Margin increased in two of the last eight quarters, with an average year-over-year change of -1.29 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was fiscal Q4 2022, with a gain of 30.42 percentage points; the weakest was fiscal Q1 2022, with a drop of 5.23 percentage points.
- According to Business Quant data, Gross Margin for the three prior fiscal quarters was 40.20% (Q3 2026), 47.05% (Q2 2026) and 44.75% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 35.03% |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 20.77% |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 9.83% |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 12.19% |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 37.34% |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 15.49% |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 53.56% |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 19.50% |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 37.59% |
| 10 | Taylor Devices | 206.52 Mn | 46.28 Mn | 3.96 Mn | 44.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 44.20% |
| Feb 28, 2026 | 40.20% |
| Nov 30, 2025 | 47.05% |
| Aug 31, 2025 | 44.75% |
| May 31, 2025 | 48.58% |
| Feb 28, 2025 | 42.87% |
| Nov 30, 2024 | 45.46% |
| Aug 31, 2024 | 47.37% |
| May 31, 2024 | 48.83% |
| Feb 29, 2024 | 46.95% |
| Nov 30, 2023 | 46.53% |
| Aug 31, 2023 | 44.18% |
| May 31, 2023 | 45.03% |
| Feb 28, 2023 | 43.09% |
| Nov 30, 2022 | 41.61% |
| Aug 31, 2022 | 38.41% |
| May 31, 2022 | 39.24% |
| Feb 28, 2022 | 22.38% |
| Nov 30, 2021 | 33.39% |
| Aug 31, 2021 | 21.76% |
API Access
Taylor Devices Gross 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=gross-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();