Taylor Devices (TAYD) Non-Current Assets (2011 - 2026)
Taylor Devices (TAYD) reported Non-Current Assets of $14.92 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.8% from $14.66 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Taylor Devices posted Non-Current Assets of $15.32 million, down 0.1% from FY2025.
- Non-Current Assets has a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $15.34 million in FY2025 (+7.2%), $14.31 million in FY2024 (+6.0%), $13.5 million in FY2023 (+20.1%) and $11.24 million in FY2022 (-4.9%).
- Five-year quarterly Non-Current Assets spans a low of $11.24 million in fiscal Q4 2022 and a high of $15.34 million in fiscal Q4 2025.
- Year over year, Non-Current Assets gained in seven of the last eight quarters, with growth averaging 3.8%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q4 2023 (growth of 20.1%); the low point was fiscal Q4 2022 (a decline of 4.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $15.32 million (Q4 2026), $14.34 million (Q3 2026) and $14.92 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 314.12 Bn | 267.89 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 258.68 Bn | 230.16 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 151.69 Bn | 58.38 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 126.48 Bn | 113.21 Bn | 2.45 Bn | 34.05 Bn |
| 5 | General Dynamics | 93.49 Bn | 80.61 Bn | 2.18 Bn | 33.13 Bn |
| 6 | Howmet Aerospace | 83.01 Bn | 78.61 Bn | 951.00 Mn | 9.06 Bn |
| 7 | Motorola Solutions | 77.17 Bn | 73.52 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 76.41 Bn | 65.65 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 67.94 Bn | 20.06 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Taylor Devices | 180.74 Mn | 7.72 Mn | 2.16 Mn | 14.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 14.92 Mn |
| May 31, 2026 | 15.32 Mn |
| Feb 28, 2026 | 14.34 Mn |
| Nov 30, 2025 | 14.92 Mn |
| Aug 31, 2025 | 14.66 Mn |
| May 31, 2025 | 15.34 Mn |
| Feb 28, 2025 | 13.76 Mn |
| Nov 30, 2024 | 14.28 Mn |
| Aug 31, 2024 | 13.87 Mn |
| May 31, 2024 | 14.31 Mn |
| Feb 29, 2024 | 13.60 Mn |
| Nov 30, 2023 | 13.48 Mn |
| Aug 31, 2023 | 13.51 Mn |
| May 31, 2023 | 13.50 Mn |
| Feb 28, 2023 | 12.38 Mn |
| Nov 30, 2022 | 11.86 Mn |
| Aug 31, 2022 | 11.65 Mn |
| May 31, 2022 | 11.24 Mn |
| Feb 28, 2022 | 11.43 Mn |
| Nov 30, 2021 | 11.69 Mn |
API Access
Taylor Devices Non-Current 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=non-current-assets&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();