Taylor Devices (TAYD) Revenue (2010 - 2026)
Taylor Devices (TAYD) reported Revenue of $7.3 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 26.4% from $9.92 million a year earlier and down 18.5% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Taylor Devices' Revenue came in at $39.03 million, down 12.5% year-over-year; for FY2026 (ended May 31, 2026), it was $41.65 million, down 10.0% from FY2025.
- Revenue has a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $46.29 million in FY2025 (+3.8%), $44.58 million in FY2024 (+10.9%), $40.2 million in FY2023 (+30.2%) and $30.87 million in FY2022 (+37.1%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Revenue since fiscal Q3 2022.
- Year over year, Revenue gained in three of the last eight quarters, with an average decline of 5.5%.
- The high point for year-over-year Revenue in five years was fiscal Q2 2022 (growth of 64.4%); the low point was fiscal Q4 2026 (a decline of 42.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $8.95 million (Q4 2026), $11.17 million (Q3 2026) and $11.6 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 14.12 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 24.97 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 20.06 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | 14.09 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 2.55 Bn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | 3.13 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | 11.12 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Taylor Devices | 181.61 Mn | 8.59 Mn | 2.16 Mn | 7.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 7.30 Mn |
| May 31, 2026 | 8.95 Mn |
| Feb 28, 2026 | 11.17 Mn |
| Nov 30, 2025 | 11.60 Mn |
| Aug 31, 2025 | 9.92 Mn |
| May 31, 2025 | 15.56 Mn |
| Feb 28, 2025 | 10.56 Mn |
| Nov 30, 2024 | 8.55 Mn |
| Aug 31, 2024 | 11.62 Mn |
| May 31, 2024 | 12.07 Mn |
| Feb 29, 2024 | 12.25 Mn |
| Nov 30, 2023 | 10.34 Mn |
| Aug 31, 2023 | 9.92 Mn |
| May 31, 2023 | 10.72 Mn |
| Feb 28, 2023 | 9.89 Mn |
| Nov 30, 2022 | 10.50 Mn |
| Aug 31, 2022 | 9.09 Mn |
| May 31, 2022 | 9.66 Mn |
| Feb 28, 2022 | 6.14 Mn |
| Nov 30, 2021 | 7.76 Mn |
API Access
Taylor Devices Revenue 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=revenue&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();