Taylor Devices (TAYD) Retained Earnings (2011 - 2026)
Taylor Devices (TAYD) posted Retained Earnings of $69.1 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 14.1% from $60.54 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Taylor Devices (TAYD) Retained Earnings (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Taylor Devices has reported Retained Earnings for 48 quarters.
- Annual Retained Earnings has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 15.5% (FY2021 to FY2026).
- In prior fiscal years, Taylor Devices' Retained Earnings was $60.54 million in FY2025 (+18.4%), $51.13 million in FY2024 (+21.4%), $42.13 million in FY2023 (+17.5%) and $35.84 million in FY2022 (+6.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Retained Earnings in data going back to fiscal Q4 2011.
- On a year-over-year basis, Retained Earnings has increased in each of the last 35 quarters, with growth averaging 18.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 2.3% (fiscal Q3 2022) to 22.3% (fiscal Q1 2025).
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $67.24 million (Q3 2026), $64.74 million (Q2 2026) and $62.73 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 55.96 Bn |
| 10 | Taylor Devices | 199.58 Mn | 39.34 Mn | 3.96 Mn | 69.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 69.10 Mn |
| Feb 28, 2026 | 67.24 Mn |
| Nov 30, 2025 | 64.74 Mn |
| Aug 31, 2025 | 62.73 Mn |
| May 31, 2025 | 60.54 Mn |
| Feb 28, 2025 | 56.85 Mn |
| Nov 30, 2024 | 54.85 Mn |
| Aug 31, 2024 | 53.79 Mn |
| May 31, 2024 | 51.13 Mn |
| Feb 29, 2024 | 48.65 Mn |
| Nov 30, 2023 | 45.96 Mn |
| Aug 31, 2023 | 43.98 Mn |
| May 31, 2023 | 42.13 Mn |
| Feb 28, 2023 | 40.06 Mn |
| Nov 30, 2022 | 38.40 Mn |
| Aug 31, 2022 | 36.84 Mn |
| May 31, 2022 | 35.84 Mn |
| Feb 28, 2022 | 34.33 Mn |
| Nov 30, 2021 | 34.44 Mn |
| Aug 31, 2021 | 33.78 Mn |
API Access
Taylor Devices Retained Earnings 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=retained-earnings&ticker=TAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=TAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();