Taylor Devices (TAYD) Cash & Equivalents (2010 - 2026)
Taylor Devices (TAYD) posted Cash & Equivalents of $904,823 for fiscal Q4 2026 (quarter ended May 31, 2026), down 24.0% from $1.19 million a year earlier and down 64.2% from the prior quarter.
Taylor Devices (TAYD) Cash & Equivalents (2010 - 2026) Analysis & Trends
Since fiscal Q1 2011, Taylor Devices has reported Cash & Equivalents for 55 quarters.
- Annual Cash & Equivalents has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -46.5% (FY2021 to FY2026).
- In prior fiscal years, Taylor Devices' Cash & Equivalents was $1.19 million in FY2025 (-57.9%), $2.83 million in FY2024 (-20.8%), $3.58 million in FY2023 (-84.1%) and $22.52 million in FY2022 (+9.4%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Cash & Equivalents since fiscal Q3 2017.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 20.6%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2022, with growth of 30.7%; the weakest was fiscal Q1 2024, with a decline of 86.7%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $2.53 million (Q3 2026), $1.96 million (Q2 2026) and $2.15 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Taylor Devices | 177.55 Mn | 4.53 Mn | 2.16 Mn | 3.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 3.60 Mn |
| May 31, 2026 | 904,823.00 |
| Feb 28, 2026 | 2.53 Mn |
| Nov 30, 2025 | 1.96 Mn |
| Aug 31, 2025 | 2.15 Mn |
| May 31, 2025 | 1.19 Mn |
| Feb 28, 2025 | 2.30 Mn |
| Nov 30, 2024 | 2.36 Mn |
| Aug 31, 2024 | 2.16 Mn |
| May 31, 2024 | 2.83 Mn |
| Feb 29, 2024 | 3.06 Mn |
| Nov 30, 2023 | 3.16 Mn |
| Aug 31, 2023 | 2.89 Mn |
| May 31, 2023 | 3.58 Mn |
| Feb 28, 2023 | 3.38 Mn |
| Nov 30, 2022 | 21.01 Mn |
| Aug 31, 2022 | 21.69 Mn |
| May 31, 2022 | 22.52 Mn |
| Feb 28, 2022 | 20.25 Mn |
| Nov 30, 2021 | 18.65 Mn |
Taylor Devices Cash & Equivalents 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=cash-and-equivalents&ticker=TAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();