Taylor Devices (TAYD) Capital Expenditures (2010 - 2026)
Taylor Devices' Capital Expenditures came in at $129,953 for fiscal Q4 2026 (quarter ended May 31, 2026), down 91.0% from $1.44 million a year earlier and down 74.8% from the prior quarter.
Taylor Devices (TAYD) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Taylor Devices' Capital Expenditures was $2.14 million, down 17.9% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $2.6 million in FY2025 (+126.4%), $1.15 million in FY2024 (-65.8%), $3.36 million in FY2023 (+141.4%) and $1.39 million in FY2022 (-14.2%).
- The fiscal Q4 2026 figure represents the lowest quarterly Capital Expenditures since fiscal Q2 2024.
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 108.8%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q2 2025 (growth of 517.7%), and the weakest in fiscal Q4 2026 (a decline of 91.0%).
- Business Quant data shows TAYD's Capital Expenditures at $515,215 (Q3 2026), $1.31 million (Q2 2026) and $184,987 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Taylor Devices | 199.58 Mn | 39.34 Mn | 3.96 Mn | 129,953.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 129,953.00 |
| Feb 28, 2026 | 515,215.00 |
| Nov 30, 2025 | 1.31 Mn |
| Aug 31, 2025 | 184,987.00 |
| May 31, 2025 | 1.44 Mn |
| Feb 28, 2025 | 187,427.00 |
| Nov 30, 2024 | 723,607.00 |
| Aug 31, 2024 | 246,962.00 |
| May 31, 2024 | 394,049.00 |
| Feb 29, 2024 | 210,538.00 |
| Nov 30, 2023 | 117,149.00 |
| Aug 31, 2023 | 427,652.00 |
| May 31, 2023 | 976,981.00 |
| Feb 28, 2023 | 991,683.00 |
| Nov 30, 2022 | 557,367.00 |
| Aug 31, 2022 | 833,464.00 |
| May 31, 2022 | 669,608.00 |
| Feb 28, 2022 | 161,810.00 |
| Nov 30, 2021 | 98,206.00 |
| Aug 31, 2021 | 461,953.00 |
Taylor Devices Capital Expenditures 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=capital-expenditures&ticker=TAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();