Taylor Devices (TAYD) Research & Development (2021 - 2026)
Taylor Devices (TAYD) reported Research & Development of $152,074 for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 88.2% from $80,817 a year earlier but down 63.6% from the prior quarter.
Taylor Devices (TAYD) Research & Development (2021 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Taylor Devices' Research & Development came in at $847,252, up 86.0% year-over-year; for FY2026 (ended May 31, 2026), it was $775,995, up 74.8% from FY2025.
- Research & Development has a four-year compound annual growth rate of -6.1% (FY2022 to FY2026).
- By fiscal year, Research & Development came in at $444,000 in FY2025 (+14.3%), $388,476 in FY2024 (-64.6%), $1.1 million in FY2023 (+9.8%) and $999,184 in FY2022.
- Five-year quarterly Research & Development spans a low of $63,015 in fiscal Q3 2026 and a high of $417,793 in fiscal Q4 2026.
- Year over year, Research & Development gained in seven of the last eight quarters, with growth averaging 66.8%.
- The high point for year-over-year Research & Development in five years was fiscal Q4 2026 (growth of 233.9%); the low point was fiscal Q2 2024 (a decline of 73.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $417,793 (Q4 2026), $63,015 (Q3 2026) and $214,370 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 460.00 Mn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 726.00 Mn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 921.00 Mn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 8.00 Mn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 260.00 Mn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 524.00 Mn |
| 10 | Taylor Devices | 177.23 Mn | 4.22 Mn | 2.16 Mn | 152,074.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 152,074.00 |
| May 31, 2026 | 417,793.00 |
| Feb 28, 2026 | 63,015.00 |
| Nov 30, 2025 | 214,370.00 |
| Aug 31, 2025 | 80,817.00 |
| May 31, 2025 | 125,137.00 |
| Feb 28, 2025 | 146,749.00 |
| Nov 30, 2024 | 102,922.00 |
| Aug 31, 2024 | 69,192.00 |
| May 31, 2024 | 66,958.00 |
| Feb 29, 2024 | 108,363.00 |
| Nov 30, 2023 | 84,081.00 |
| Aug 31, 2023 | 129,074.00 |
| May 31, 2023 | 215,472.00 |
| Feb 28, 2023 | 190,688.00 |
| Nov 30, 2022 | 315,301.00 |
| Aug 31, 2022 | 375,346.00 |
| May 31, 2022 | 314,690.00 |
| Feb 28, 2022 | 201,277.00 |
| Nov 30, 2021 | 201,277.00 |
Taylor Devices Research & Development 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=research-and-development&ticker=TAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();