Taylor Devices (TAYD) Return on Assets [ROA] (2011 - 2026)
Taylor Devices (TAYD) recorded Return on Assets [ROA] of 11.18% in fiscal Q4 2026 (quarter ended May 31, 2026), down 2.10 percentage points from 13.28% a year earlier and down 2.83 percentage points from the prior quarter.
Taylor Devices (TAYD) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Taylor Devices reported Return on Assets [ROA] of 11.47%, down 2.51 percentage points from FY2025.
- Annual Return on Assets [ROA] has a five-year change of +9.13 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at 13.98% in FY2025 (-0.90 pp), 14.88% in FY2024 (+3.14 pp), 11.74% in FY2023 (+7.03 pp) and 4.71% in FY2022 (+2.37 pp).
- The fiscal Q4 2026 figure is the lowest quarterly Return on Assets [ROA] since fiscal Q3 2023.
- On a year-over-year basis, Return on Assets [ROA] rose in three of the last eight quarters, with an average year-over-year change of -0.37 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 9.17 percentage points in fiscal Q3 2023, against a drop of 4.08 percentage points in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 14.01% (Q3 2026), 13.82% (Q2 2026) and 12.59% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 7.01% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 4.72% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.48% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 10.33% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 14.22% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 7.53% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 11.17% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 8.92% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 10.86% |
| 10 | Taylor Devices | 193.43 Mn | 33.19 Mn | 3.96 Mn | 11.18% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 11.18% |
| Feb 28, 2026 | 14.01% |
| Nov 30, 2025 | 13.82% |
| Aug 31, 2025 | 12.59% |
| May 31, 2025 | 13.28% |
| Feb 28, 2025 | 12.33% |
| Nov 30, 2024 | 14.26% |
| Aug 31, 2024 | 15.71% |
| May 31, 2024 | 15.27% |
| Feb 29, 2024 | 14.79% |
| Nov 30, 2023 | 12.41% |
| Aug 31, 2023 | 12.07% |
| May 31, 2023 | 11.25% |
| Feb 28, 2023 | 10.87% |
| Nov 30, 2022 | 7.83% |
| Aug 31, 2022 | 6.20% |
| May 31, 2022 | 4.70% |
| Feb 28, 2022 | 1.70% |
| Nov 30, 2021 | 2.36% |
| Aug 31, 2021 | 2.33% |
Taylor Devices Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=TAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();