Taylor Devices (TAYD) Assets (2011 - 2026)
Taylor Devices' Assets was $80.99 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 15.2% from $70.29 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Assets at Taylor Devices came in at $77.74 million, up 8.6% from FY2025.
- Assets has now increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- In earlier fiscal years, Assets was $71.62 million in FY2025 (+13.5%), $63.08 million in FY2024 (+9.0%), $57.88 million in FY2023 (+17.6%) and $49.22 million in FY2022 (+7.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Assets in data going back to fiscal Q4 2011.
- Compared with a year earlier, Assets has increased for 22 straight quarters, with growth averaging 13.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Assets ranged from 1.7% (fiscal Q3 2024) to 28.0% (fiscal Q3 2025).
- Per Business Quant data, TAYD's Assets in the three fiscal quarters before Q1 2027 was $77.74 million (Q4 2026), $75.45 million (Q3 2026) and $72.84 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 312.45 Bn | 266.22 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 258.89 Bn | 230.36 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 151.20 Bn | 57.89 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 126.56 Bn | 113.28 Bn | 2.45 Bn | 62.45 Bn |
| 5 | General Dynamics | 93.20 Bn | 80.31 Bn | 2.18 Bn | 60.16 Bn |
| 6 | Howmet Aerospace | 83.32 Bn | 78.92 Bn | 951.00 Mn | 13.25 Bn |
| 7 | Motorola Solutions | 76.69 Bn | 73.04 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 76.22 Bn | 65.47 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 67.35 Bn | 19.48 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Taylor Devices | 177.35 Mn | 4.33 Mn | 2.16 Mn | 80.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 80.99 Mn |
| May 31, 2026 | 77.74 Mn |
| Feb 28, 2026 | 75.45 Mn |
| Nov 30, 2025 | 72.84 Mn |
| Aug 31, 2025 | 70.29 Mn |
| May 31, 2025 | 71.62 Mn |
| Feb 28, 2025 | 70.15 Mn |
| Nov 30, 2024 | 62.86 Mn |
| Aug 31, 2024 | 61.89 Mn |
| May 31, 2024 | 63.08 Mn |
| Feb 29, 2024 | 54.79 Mn |
| Nov 30, 2023 | 61.43 Mn |
| Aug 31, 2023 | 60.27 Mn |
| May 31, 2023 | 57.88 Mn |
| Feb 28, 2023 | 53.88 Mn |
| Nov 30, 2022 | 51.70 Mn |
| Aug 31, 2022 | 49.42 Mn |
| May 31, 2022 | 49.22 Mn |
| Feb 28, 2022 | 46.17 Mn |
| Nov 30, 2021 | 46.06 Mn |
API Access
Taylor Devices Assets 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=assets&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();