Taylor Devices (TAYD) Selling, General & Administrative (2010 - 2026)
Taylor Devices' Selling, General & Administrative was $2.99 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 18.7% from $3.68 million a year earlier but up 41.4% from the prior quarter.
Taylor Devices (TAYD) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Selling, General & Administrative at Taylor Devices came in at $10.23 million, down 10.3% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $11.41 million in FY2025 (+4.0%), $10.97 million in FY2024 (+21.3%), $9.04 million in FY2023 (+46.9%) and $6.15 million in FY2022 (+11.4%).
- Quarterly Selling, General & Administrative has moved between $1.36 million (fiscal Q3 2022) and $3.68 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 3.1%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2023 (growth of 66.1%); the worst was fiscal Q4 2026 (a decline of 18.7%).
- Per Business Quant data, TAYD's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $2.11 million (Q3 2026), $3.02 million (Q2 2026) and $2.11 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 1.43 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 | 148.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Taylor Devices | 177.55 Mn | 4.53 Mn | 2.16 Mn | 1.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.97 Mn |
| May 31, 2026 | 2.99 Mn |
| Feb 28, 2026 | 2.11 Mn |
| Nov 30, 2025 | 3.02 Mn |
| Aug 31, 2025 | 2.11 Mn |
| May 31, 2025 | 3.68 Mn |
| Feb 28, 2025 | 2.36 Mn |
| Nov 30, 2024 | 2.84 Mn |
| Aug 31, 2024 | 2.53 Mn |
| May 31, 2024 | 3.31 Mn |
| Feb 29, 2024 | 2.65 Mn |
| Nov 30, 2023 | 2.67 Mn |
| Aug 31, 2023 | 2.34 Mn |
| May 31, 2023 | 2.54 Mn |
| Feb 28, 2023 | 2.27 Mn |
| Nov 30, 2022 | 2.30 Mn |
| Aug 31, 2022 | 1.94 Mn |
| May 31, 2022 | 1.71 Mn |
| Feb 28, 2022 | 1.36 Mn |
| Nov 30, 2021 | 1.61 Mn |
Taylor Devices Selling, General & Administrative 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=selling-general-and-administrative&ticker=TAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();