Taylor Devices (TAYD) Operating Expenses (2010 - 2026)
Taylor Devices (TAYD) posted Operating Expenses of $3.4 million for fiscal Q4 2026 (quarter ended May 31, 2026), down 10.4% from $3.8 million a year earlier but up 56.5% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Taylor Devices' Operating Expenses came in at $11 million, down 7.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 14.8% (FY2021 to FY2026).
- In prior fiscal years, Taylor Devices' Operating Expenses was $11.85 million in FY2025 (+4.3%), $11.36 million in FY2024 (+12.0%), $10.14 million in FY2023 (+41.7%) and $7.15 million in FY2022 (+29.4%).
- Quarterly Operating Expenses has run from a low of $1.47 million in fiscal Q1 2022 to a high of $3.8 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 1.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2023, with growth of 57.1%; the weakest was fiscal Q1 2026, with a decline of 15.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $2.18 million (Q3 2026), $3.23 million (Q2 2026) and $2.19 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Taylor Devices | 206.52 Mn | 46.28 Mn | 3.96 Mn | 3.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.40 Mn |
| Feb 28, 2026 | 2.18 Mn |
| Nov 30, 2025 | 3.23 Mn |
| Aug 31, 2025 | 2.19 Mn |
| May 31, 2025 | 3.80 Mn |
| Feb 28, 2025 | 2.51 Mn |
| Nov 30, 2024 | 2.94 Mn |
| Aug 31, 2024 | 2.60 Mn |
| May 31, 2024 | 3.38 Mn |
| Feb 29, 2024 | 2.76 Mn |
| Nov 30, 2023 | 2.76 Mn |
| Aug 31, 2023 | 2.47 Mn |
| May 31, 2023 | 2.76 Mn |
| Feb 28, 2023 | 2.46 Mn |
| Nov 30, 2022 | 2.61 Mn |
| Aug 31, 2022 | 2.31 Mn |
| May 31, 2022 | 2.02 Mn |
| Feb 28, 2022 | 1.57 Mn |
| Nov 30, 2021 | 1.81 Mn |
| Aug 31, 2021 | 1.47 Mn |
API Access
Taylor Devices Operating 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=operating-expenses&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();