Taylor Devices (TAYD) EBITDA (2010 - 2026)
Taylor Devices (TAYD) posted EBITDA of $569,865 for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 78.9% from $2.7 million a year earlier and down 47.2% from the prior quarter.
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Analysis
Taylor Devices (TAYD) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EBITDA at Taylor Devices was $7.13 million, down 33.8% year-over-year; for FY2026 (ended May 31, 2026), it came in at $9.25 million, down 18.4% from FY2025.
- In prior fiscal years, Taylor Devices' EBITDA was $11.34 million in FY2025 (+1.5%), $11.17 million in FY2024 (+34.9%), $8.28 million in FY2023 (+116.8%) and $3.82 million in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly EBITDA since fiscal Q3 2022.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with an average decline of 12.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2023, with growth of 246.4%; the weakest was fiscal Q1 2027, with a decline of 78.9%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $1.08 million (Q4 2026), $2.79 million (Q3 2026) and $2.69 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.08 Bn | 264.86 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 258.96 Bn | 230.43 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 150.62 Bn | 57.31 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 126.44 Bn | 113.17 Bn | 2.45 Bn | 2.88 Bn |
| 5 | General Dynamics | 92.89 Bn | 80.00 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Howmet Aerospace | 83.50 Bn | 79.10 Bn | 951.00 Mn | 795.00 Mn |
| 7 | Motorola Solutions | 76.80 Bn | 73.14 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 76.06 Bn | 65.30 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.19 Bn | 19.31 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Taylor Devices | 177.82 Mn | 4.80 Mn | 2.16 Mn | 569,865.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 569,865.00 |
| May 31, 2026 | 1.08 Mn |
| Feb 28, 2026 | 2.79 Mn |
| Nov 30, 2025 | 2.69 Mn |
| Aug 31, 2025 | 2.70 Mn |
| May 31, 2025 | 4.08 Mn |
| Feb 28, 2025 | 2.58 Mn |
| Nov 30, 2024 | 1.40 Mn |
| Aug 31, 2024 | 3.29 Mn |
| May 31, 2024 | 2.86 Mn |
| Feb 29, 2024 | 3.43 Mn |
| Nov 30, 2023 | 2.51 Mn |
| Aug 31, 2023 | 2.38 Mn |
| May 31, 2023 | 2.54 Mn |
| Feb 28, 2023 | 2.17 Mn |
| Nov 30, 2022 | 2.07 Mn |
| Aug 31, 2022 | 1.50 Mn |
| May 31, 2022 | 2.13 Mn |
| Feb 28, 2022 | 152,071.00 |
| Nov 30, 2021 | 1.10 Mn |
API Access
Taylor Devices EBITDA 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=ebitda&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();