Taylor Devices (TAYD) Enterprise Value (2011 - 2026)
Taylor Devices' Enterprise Value was $144.78 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 22.8% from $117.92 million a year earlier and up 20.4% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Enterprise Value (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Taylor Devices' Enterprise Value was $20.84 million through Aug 31, 2026, up 4.8% year-over-year; for FY2026 (ended May 31, 2026), it was $120.21 million, up 50.9% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of 43.5% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $79.64 million in FY2025 (-43.0%), $139.78 million in FY2024 (+192.7%), $47.75 million in FY2023 (+238.3%) and $14.11 million in FY2022 (-28.6%).
- Quarterly Enterprise Value has moved between $12.9 million (fiscal Q1 2023) and $240.73 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Enterprise Value has increased for three straight quarters, with growth averaging 58.8% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q1 2024 (growth of 275.5%); the worst was fiscal Q4 2025 (a decline of 43.0%).
- Per Business Quant data, TAYD's Enterprise Value in the three fiscal quarters before Q1 2027 was $120.21 million (Q4 2026), $240.73 million (Q3 2026) and $116.22 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 311.54 Bn | 265.31 Bn | 4.68 Bn |
| 2 | Rtx | 258.33 Bn | 229.81 Bn | 5.13 Bn |
| 3 | Boeing | 151.30 Bn | 57.99 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.40 Bn | 113.12 Bn | 2.45 Bn |
| 5 | General Dynamics | 92.84 Bn | 79.96 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.04 Bn | 78.64 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.53 Bn | 72.87 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.29 Bn | 65.54 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.39 Bn | 19.52 Bn | 3.65 Bn |
| 10 | Taylor Devices | 177.35 Mn | 4.33 Mn | 2.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 144.78 Mn |
| May 31, 2026 | 120.21 Mn |
| Feb 28, 2026 | 240.73 Mn |
| Nov 30, 2025 | 116.22 Mn |
| Aug 31, 2025 | 117.92 Mn |
| May 31, 2025 | 79.64 Mn |
| Feb 28, 2025 | 69.86 Mn |
| Nov 30, 2024 | 124.19 Mn |
| Aug 31, 2024 | 151.87 Mn |
| May 31, 2024 | 139.78 Mn |
| Feb 29, 2024 | 86.70 Mn |
| Nov 30, 2023 | 36.20 Mn |
| Aug 31, 2023 | 48.46 Mn |
| May 31, 2023 | 47.75 Mn |
| Feb 28, 2023 | 36.29 Mn |
| Nov 30, 2022 | 24.82 Mn |
| Aug 31, 2022 | 12.90 Mn |
| May 31, 2022 | 14.11 Mn |
| Feb 28, 2022 | 13.62 Mn |
| Nov 30, 2021 | 18.54 Mn |
API Access
Taylor Devices Enterprise Value 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=enterprise-value&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();