Taylor Devices (TAYD) Total Liabilities (2011 - 2026)
Taylor Devices (TAYD) reported Total Liabilities of $7.63 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 26.3% from $6.04 million a year earlier and up 55.9% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Taylor Devices posted Total Liabilities of $4.89 million, down 48.9% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $9.57 million in FY2025 (-19.1%), $11.83 million in FY2024 (+51.9%), $7.79 million in FY2023 (+30.6%) and $5.96 million in FY2022 (+16.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Liabilities since fiscal Q4 2025.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 8.2%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2025 (growth of 77.5%); the low point was fiscal Q3 2026 (a decline of 57.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.89 million (Q4 2026), $5.31 million (Q3 2026) and $5.78 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Taylor Devices | 177.23 Mn | 4.22 Mn | 2.16 Mn | 7.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 7.63 Mn |
| May 31, 2026 | 4.89 Mn |
| Feb 28, 2026 | 5.31 Mn |
| Nov 30, 2025 | 5.78 Mn |
| Aug 31, 2025 | 6.04 Mn |
| May 31, 2025 | 9.57 Mn |
| Feb 28, 2025 | 12.34 Mn |
| Nov 30, 2024 | 7.06 Mn |
| Aug 31, 2024 | 7.97 Mn |
| May 31, 2024 | 11.83 Mn |
| Feb 29, 2024 | 6.96 Mn |
| Nov 30, 2023 | 7.21 Mn |
| Aug 31, 2023 | 8.33 Mn |
| May 31, 2023 | 7.79 Mn |
| Feb 28, 2023 | 6.18 Mn |
| Nov 30, 2022 | 5.71 Mn |
| Aug 31, 2022 | 5.13 Mn |
| May 31, 2022 | 5.96 Mn |
| Feb 28, 2022 | 4.51 Mn |
| Nov 30, 2021 | 4.29 Mn |
API Access
Taylor Devices Total Liabilities 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=total-liabilities&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();