Taylor Devices (TAYD) Total Liabilities (2011 - 2026)
Taylor Devices (TAYD) reported Total Liabilities of $4.89 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 48.9% from $9.57 million a year earlier and down 7.8% from the prior quarter.
Powered by 
Analysis
Taylor Devices (TAYD) Total Liabilities (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Taylor Devices' Total Liabilities record includes 48 quarters.
- 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 Q4 2026 figure ranks as the lowest quarterly Total Liabilities since fiscal Q3 2022.
- Year over year, Total Liabilities has now declined in each of the last five quarters, with an average decline of 12.0% over the last eight quarters.
- 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 Q4 2026 came in at $5.31 million (Q3 2026), $5.78 million (Q2 2026) and $6.04 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Taylor Devices | 206.52 Mn | 46.28 Mn | 3.96 Mn | 4.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 4.64 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();