Taylor Devices (TAYD) Accumulated Expenses (2011 - 2026)
Taylor Devices (TAYD) reported Accumulated Expenses of $2.95 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 27.6% from $4.07 million a year earlier but up 6.3% from the prior quarter.
Powered by 
Analysis
Taylor Devices (TAYD) Accumulated Expenses (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Taylor Devices' Accumulated Expenses record includes 22 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 11.4% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $4.07 million in FY2025 (-12.7%), $4.66 million in FY2024 (+14.4%), $4.08 million in FY2023 (+19.4%) and $3.41 million in FY2022 (+99.0%).
- Five-year quarterly Accumulated Expenses spans a low of $2.14 million in fiscal Q1 2026 and a high of $8 million in fiscal Q3 2025.
- Year over year, Accumulated Expenses gained in two of the last eight quarters, with an average decline of 4.6%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2022 (growth of 99.0%); the low point was fiscal Q3 2026 (a decline of 65.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $2.77 million (Q3 2026), $2.54 million (Q2 2026) and $2.14 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Taylor Devices | 193.43 Mn | 33.19 Mn | 3.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.95 Mn |
| Feb 28, 2026 | 2.77 Mn |
| Nov 30, 2025 | 2.54 Mn |
| Aug 31, 2025 | 2.14 Mn |
| May 31, 2025 | 4.07 Mn |
| Feb 28, 2025 | 8.00 Mn |
| Nov 30, 2024 | 2.50 Mn |
| Aug 31, 2024 | 2.40 Mn |
| May 31, 2024 | 4.66 Mn |
| Feb 29, 2024 | 4.04 Mn |
| Nov 30, 2023 | 3.03 Mn |
| Aug 31, 2023 | 2.46 Mn |
| May 31, 2023 | 4.08 Mn |
| May 31, 2022 | 3.41 Mn |
| May 31, 2021 | 1.72 Mn |
| May 31, 2020 | 1.66 Mn |
| May 31, 2019 | 1.53 Mn |
| May 31, 2018 | 1.41 Mn |
| May 31, 2017 | 832,060.00 |
| May 31, 2016 | 2.73 Mn |
API Access
Taylor Devices Accumulated Expenses 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=accumulated-expenses&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();