Taylor Devices (TAYD) Net Margin (2010 - 2026)
Taylor Devices (TAYD) recorded Net Margin of 6.26% in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 15.82 percentage points from 22.08% a year earlier and down 14.59 percentage points from the prior quarter.
Taylor Devices (TAYD) Net Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Taylor Devices' Net Margin came in at 17.50% as of Aug 31, 2026, down 2.54 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was 20.56%, up 0.23 percentage points from FY2025.
- Annual Net Margin has increased for five straight fiscal years, with a five-year change of +15.84 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Net Margin came in at 20.33% in FY2025 (+0.15 pp), 20.18% in FY2024 (+4.54 pp), 15.64% in FY2023 (+8.39 pp) and 7.26% in FY2022 (+2.53 pp).
- The fiscal Q1 2027 figure is the lowest quarterly Net Margin since fiscal Q3 2022.
- On a year-over-year basis, Net Margin rose in three of the last eight quarters, with an average year-over-year change of -2.23 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 18.68 percentage points in fiscal Q3 2023, against a drop of 15.82 percentage points in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 20.85% (Q4 2026), 22.36% (Q3 2026) and 17.31% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 17.75% |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 8.66% |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | -2.16% |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 9.15% |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 8.23% |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 20.97% |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 17.78% |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 10.06% |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 58.46% |
| 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 | 20.85% |
| Feb 28, 2026 | 22.36% |
| Nov 30, 2025 | 17.31% |
| Aug 31, 2025 | 22.08% |
| May 31, 2025 | 23.70% |
| Feb 28, 2025 | 18.95% |
| Nov 30, 2024 | 12.35% |
| Aug 31, 2024 | 22.95% |
| May 31, 2024 | 20.49% |
| Feb 29, 2024 | 22.01% |
| Nov 30, 2023 | 19.16% |
| Aug 31, 2023 | 18.62% |
| May 31, 2023 | 19.28% |
| Feb 28, 2023 | 16.77% |
| Nov 30, 2022 | 14.86% |
| Aug 31, 2022 | 11.03% |
| May 31, 2022 | 15.69% |
| Feb 28, 2022 | -1.91% |
| Nov 30, 2021 | 8.50% |
Taylor Devices Net 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=net-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();