Taylor Devices (TAYD) Profit After Tax (2010 - 2026)
Taylor Devices (TAYD) reported Profit After Tax of $456,933 for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 79.1% from $2.19 million a year earlier and down 75.5% from the prior quarter.
Taylor Devices (TAYD) Profit After Tax (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Taylor Devices' Profit After Tax came in at $6.83 million, down 23.6% year-over-year; for FY2026 (ended May 31, 2026), it came in at $8.56 million, down 9.0% from FY2025.
- Profit After Tax has a five-year compound annual growth rate of 51.8% (FY2021 to FY2026).
- By fiscal year, Profit After Tax came in at $9.41 million in FY2025 (+4.6%), $9 million in FY2024 (+43.1%), $6.29 million in FY2023 (+180.8%) and $2.24 million in FY2022 (+110.7%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Profit After Tax since fiscal Q3 2022.
- Year over year, Profit After Tax gained in three of the last eight quarters, with an average decline of 6.8%.
- The high point for year-over-year Profit After Tax in five years was fiscal Q1 2023 (growth of 451.1%); the low point was fiscal Q1 2027 (a decline of 79.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.87 million (Q4 2026), $2.5 million (Q3 2026) and $2.01 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 2.39 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.25 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | -428.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 1.84 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 534.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 1.16 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 558.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 1.09 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 5.95 Bn |
| 10 | Taylor Devices | 177.55 Mn | 4.53 Mn | 2.16 Mn | 456,933.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 456,933.00 |
| May 31, 2026 | 1.87 Mn |
| Feb 28, 2026 | 2.50 Mn |
| Nov 30, 2025 | 2.01 Mn |
| Aug 31, 2025 | 2.19 Mn |
| May 31, 2025 | 3.69 Mn |
| Feb 28, 2025 | 2.00 Mn |
| Nov 30, 2024 | 1.06 Mn |
| Aug 31, 2024 | 2.67 Mn |
| May 31, 2024 | 2.47 Mn |
| Feb 29, 2024 | 2.70 Mn |
| Nov 30, 2023 | 1.98 Mn |
| Aug 31, 2023 | 1.85 Mn |
| May 31, 2023 | 2.07 Mn |
| Feb 28, 2023 | 1.66 Mn |
| Nov 30, 2022 | 1.56 Mn |
| Aug 31, 2022 | 1.00 Mn |
| May 31, 2022 | 1.52 Mn |
| Feb 28, 2022 | -117,293.00 |
| Nov 30, 2021 | 659,804.00 |
Taylor Devices Profit After Tax 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=profit-after-tax&ticker=TAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();