Taylor Devices (TAYD) EPS (Diluted) (2012 - 2026)
Taylor Devices (TAYD) reported EPS (Diluted) of $0.14 for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 79.2% from $0.70 a year earlier and down 75.5% from the prior quarter.
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Analysis
Taylor Devices (TAYD) EPS (Diluted) (2012 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Taylor Devices' EPS (Diluted) came in at $2.16, down 23.8% year-over-year; for FY2026 (ended May 31, 2026), it was $2.71, down 9.9% from FY2025.
- EPS (Diluted) has a five-year compound annual growth rate of 54.9% (FY2021 to FY2026).
- By fiscal year, EPS (Diluted) came in at $3.01 in FY2025 (+17.0%), $2.57 in FY2024 (+43.1%), $1.80 in FY2023 (+180.8%) and $0.64 in FY2022 (+110.2%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly EPS (Diluted) since fiscal Q3 2022.
- Year over year, EPS (Diluted) gained in three of the last eight quarters, with an average decline of 3.2%.
- The high point for year-over-year EPS (Diluted) in five years was fiscal Q1 2023 (growth of 449.9%); the low point was fiscal Q1 2027 (a decline of 79.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $0.59 (Q4 2026), $0.79 (Q3 2026) and $0.64 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 2.26 |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 1.57 |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 7.94 |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 4.24 |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 1.33 |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 3.33 |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 7.68 |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 17.83 |
| 10 | Taylor Devices | 177.23 Mn | 4.22 Mn | 2.16 Mn | 0.14 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 0.14 |
| May 31, 2026 | 0.59 |
| Feb 28, 2026 | 0.79 |
| Nov 30, 2025 | 0.64 |
| Aug 31, 2025 | 0.70 |
| May 31, 2025 | 1.18 |
| Feb 28, 2025 | 0.64 |
| Nov 30, 2024 | 0.34 |
| Aug 31, 2024 | 0.85 |
| May 31, 2024 | 0.71 |
| Feb 29, 2024 | 0.77 |
| Nov 30, 2023 | 0.57 |
| Aug 31, 2023 | 0.53 |
| May 31, 2023 | 0.59 |
| Feb 28, 2023 | 0.47 |
| Nov 30, 2022 | 0.45 |
| Aug 31, 2022 | 0.29 |
| May 31, 2022 | 0.43 |
| Feb 28, 2022 | -0.03 |
| Nov 30, 2021 | 0.19 |
API Access
Taylor Devices EPS (Diluted) 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=eps-diluted&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();