Taylor Devices (TAYD) EBT (2010 - 2026)
Taylor Devices (TAYD) reported EBT of $456,933 for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 82.6% from $2.63 million a year earlier and down 52.8% from the prior quarter.
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Analysis
Taylor Devices (TAYD) EBT (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Taylor Devices' EBT came in at $6.82 million, down 34.3% year-over-year; for FY2026 (ended May 31, 2026), it came in at $8.99 million, down 18.5% from FY2025.
- EBT has a five-year compound annual growth rate of 67.5% (FY2021 to FY2026).
- By fiscal year, EBT came in at $11.03 million in FY2025 (+1.0%), $10.92 million in FY2024 (+45.5%), $7.51 million in FY2023 (+193.6%) and $2.56 million in FY2022 (+274.9%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly EBT since fiscal Q3 2022.
- Year over year, EBT gained in three of the last eight quarters, with an average decline of 10.4%.
- The high point for year-over-year EBT in five years was fiscal Q1 2023 (growth of 569.9%); the low point was fiscal Q1 2027 (a decline of 82.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $967,826 (Q4 2026), $2.74 million (Q3 2026) and $2.65 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 312.56 Bn | 266.33 Bn | 4.68 Bn | 2.80 Bn |
| 2 | Rtx | 262.07 Bn | 233.55 Bn | 5.13 Bn | 2.74 Bn |
| 3 | Boeing | 150.53 Bn | 57.22 Bn | 2.41 Bn | -365.00 Mn |
| 4 | Lockheed Martin | 128.14 Bn | 114.86 Bn | 2.45 Bn | 2.18 Bn |
| 5 | General Dynamics | 93.37 Bn | 80.49 Bn | 2.18 Bn | 1.41 Bn |
| 6 | Howmet Aerospace | 85.79 Bn | 81.39 Bn | 951.00 Mn | 649.00 Mn |
| 7 | Motorola Solutions | 76.59 Bn | 72.94 Bn | 1.68 Bn | 742.00 Mn |
| 8 | Northrop Grumman | 76.28 Bn | 65.52 Bn | 2.12 Bn | 1.17 Bn |
| 9 | Honeywell International | 66.74 Bn | 18.86 Bn | 3.65 Bn | 7.53 Bn |
| 10 | Taylor Devices | 174.67 Mn | 1.66 Mn | 2.16 Mn | 456,933.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 456,933.00 |
| May 31, 2026 | 967,826.00 |
| Feb 28, 2026 | 2.74 Mn |
| Nov 30, 2025 | 2.65 Mn |
| Aug 31, 2025 | 2.63 Mn |
| May 31, 2025 | 4.15 Mn |
| Feb 28, 2025 | 2.35 Mn |
| Nov 30, 2024 | 1.25 Mn |
| Aug 31, 2024 | 3.28 Mn |
| May 31, 2024 | 2.83 Mn |
| Feb 29, 2024 | 3.36 Mn |
| Nov 30, 2023 | 2.45 Mn |
| Aug 31, 2023 | 2.28 Mn |
| May 31, 2023 | 2.33 Mn |
| Feb 28, 2023 | 2.04 Mn |
| Nov 30, 2022 | 1.91 Mn |
| Aug 31, 2022 | 1.22 Mn |
| May 31, 2022 | 1.77 Mn |
| Feb 28, 2022 | -186,293.00 |
| Nov 30, 2021 | 787,804.00 |
API Access
Taylor Devices EBT 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=ebt&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();