Taylor Devices (TAYD) Return on Capital Employed [ROCE] (2011 - 2026)
Taylor Devices (TAYD) reported Return on Capital Employed [ROCE] of 10.24% for fiscal Q4 2026 (quarter ended May 31, 2026), down 5.46 percentage points from 15.70% a year earlier and down 5.08 percentage points from the prior quarter.
Taylor Devices (TAYD) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Taylor Devices posted Return on Capital Employed [ROCE] of 10.52%, down 6.14 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a five-year change of +16.35 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 16.66% in FY2025 (-2.82 pp), 19.49% in FY2024 (+4.61 pp), 14.88% in FY2023 (+8.94 pp) and 5.94% in FY2022 (+11.77 pp).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2023.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last six quarters, with an average year-over-year change of -1.54 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q3 2023 (a gain of 14.79 percentage points); the low point was fiscal Q1 2022 (a drop of 13.57 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 15.32% (Q3 2026), 15.59% (Q2 2026) and 13.81% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 15.09% |
| 10 | Taylor Devices | 177.55 Mn | 4.53 Mn | 2.16 Mn | 7.16% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 7.16% |
| May 31, 2026 | 10.24% |
| Feb 28, 2026 | 15.32% |
| Nov 30, 2025 | 15.59% |
| Aug 31, 2025 | 13.81% |
| May 31, 2025 | 15.70% |
| Feb 28, 2025 | 15.48% |
| Nov 30, 2024 | 16.91% |
| Aug 31, 2024 | 19.20% |
| May 31, 2024 | 20.12% |
| Feb 29, 2024 | 17.66% |
| Nov 30, 2023 | 14.63% |
| Aug 31, 2023 | 14.88% |
| May 31, 2023 | 14.16% |
| Feb 28, 2023 | 13.96% |
| Nov 30, 2022 | 10.05% |
| Aug 31, 2022 | 7.99% |
| May 31, 2022 | 5.93% |
| Feb 28, 2022 | -0.83% |
| Nov 30, 2021 | -2.35% |
Taylor Devices Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();