Taylor Devices (TAYD) Other Accumulated Expenses (2011 - 2026)
Taylor Devices' Other Accumulated Expenses came in at $3.28 million for fiscal Q3 2023 (quarter ended Feb 28, 2023), up 43.8% from $2.28 million a year earlier and up 6.2% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2022 (ended May 31, 2022), Taylor Devices' Other Accumulated Expenses was $3.41 million.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 32.2% (FY2017 to FY2022).
- Going back by fiscal year, Other Accumulated Expenses was $269,064 in FY2021 (-12.0%), $305,885 in FY2020 (-80.0%), $1.53 million in FY2019 (+55.8%) and $983,260 in FY2018 (+16.1%).
- The five-year range for quarterly Other Accumulated Expenses is $269,064 (fiscal Q4 2021) to $3.41 million (fiscal Q4 2022).
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 63.3% over the last seven quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2019 (growth of 154.1%), and the weakest in fiscal Q4 2020 (a decline of 80.0%).
- Business Quant data shows TAYD's Other Accumulated Expenses at $3.09 million (Q2 2023), $2.07 million (Q1 2023) and $3.41 million (Q4 2022) in the three fiscal quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Taylor Devices | 177.55 Mn | 4.53 Mn | 2.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 711,986.00 |
| May 31, 2026 | 723,522.00 |
| Feb 28, 2023 | 3.28 Mn |
| Nov 30, 2022 | 3.09 Mn |
| Aug 31, 2022 | 2.07 Mn |
| May 31, 2022 | 3.41 Mn |
| Feb 28, 2022 | 2.28 Mn |
| Nov 30, 2021 | 1.54 Mn |
| Aug 31, 2021 | 1.27 Mn |
| May 31, 2021 | 269,064.00 |
| Feb 28, 2021 | 1.02 Mn |
| Nov 30, 2020 | 876,483.00 |
| Aug 31, 2020 | 856,029.00 |
| May 31, 2020 | 305,885.00 |
| Feb 29, 2020 | 1.46 Mn |
| Nov 30, 2019 | 1.15 Mn |
| Aug 31, 2019 | 1.76 Mn |
| May 31, 2019 | 1.53 Mn |
| Feb 28, 2019 | 1.54 Mn |
| Nov 30, 2018 | 1.82 Mn |
API Access
Taylor Devices Other 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=other-accumulated-expenses&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();