Moog (MOG-A) Retained Earnings (2009 - 2026)
Moog's Retained Earnings was $3.12 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 12.2% from $2.78 billion a year earlier and up 4.8% from the prior quarter.
Moog (MOG-A) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Retained Earnings at Moog came in at $2.83 billion, up 7.5% from FY2024.
- Retained Earnings has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier fiscal years, Retained Earnings was $2.64 billion in FY2024 (+7.0%), $2.46 billion in FY2023 (+4.3%), $2.36 billion in FY2022 (+5.5%) and $2.24 billion in FY2021 (+5.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2009.
- Compared with a year earlier, Retained Earnings has increased for 21 straight quarters, with growth averaging 8.1% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 4.3% (fiscal Q4 2023) and 12.2% (fiscal Q3 2026) over the last five years.
- Per Business Quant data, MOG-A's Retained Earnings in the three fiscal quarters before Q3 2026 was $2.98 billion (Q2 2026), $2.9 billion (Q1 2026) and $2.83 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 55.96 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 3.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.12 Bn |
| Mar 28, 2026 | 2.98 Bn |
| Jan 3, 2026 | 2.90 Bn |
| Sep 27, 2025 | 2.83 Bn |
| Jun 28, 2025 | 2.78 Bn |
| Mar 29, 2025 | 2.73 Bn |
| Dec 28, 2024 | 2.68 Bn |
| Sep 28, 2024 | 2.64 Bn |
| Jun 29, 2024 | 2.60 Bn |
| Mar 30, 2024 | 2.55 Bn |
| Dec 30, 2023 | 2.51 Bn |
| Sep 30, 2023 | 2.46 Bn |
| Jul 1, 2023 | 2.47 Bn |
| Apr 1, 2023 | 2.43 Bn |
| Dec 31, 2022 | 2.40 Bn |
| Oct 1, 2022 | 2.36 Bn |
| Jul 2, 2022 | 2.34 Bn |
| Apr 2, 2022 | 2.30 Bn |
| Jan 1, 2022 | 2.28 Bn |
| Oct 2, 2021 | 2.24 Bn |
Moog 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=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "MOG-A", "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=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();