Moog (MOG-A) Exchange Rate Effect (2009 - 2026)
Moog (MOG-A) posted Exchange Rate Effect of $433,000 for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 76.2% from $1.82 million a year earlier.
Moog (MOG-A) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Exchange Rate Effect at Moog was -$918,000; for FY2025 (ended Sep 27, 2025), it came in at -$1.86 million.
- In prior fiscal years, Moog's Exchange Rate Effect was $1.32 million in FY2024 (-35.2%), $2.04 million in FY2023, -$10.26 million in FY2022 and $768,000 in FY2021 (-66.7%).
- Quarterly Exchange Rate Effect has run from a low of -$5.09 million in fiscal Q3 2022 to a high of $4.49 million in fiscal Q1 2023 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was -$77,000 (Q2 2026), $98,000 (Q1 2026) and -$1.37 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -11.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | -13.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | -60.00 Mn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 433,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 433,000.00 |
| Mar 28, 2026 | -77,000.00 |
| Jan 3, 2026 | 98,000.00 |
| Sep 27, 2025 | -1.37 Mn |
| Jun 28, 2025 | 1.82 Mn |
| Mar 29, 2025 | 255,000.00 |
| Dec 28, 2024 | -2.56 Mn |
| Sep 28, 2024 | 1.59 Mn |
| Jun 29, 2024 | -512,000.00 |
| Mar 30, 2024 | -1.25 Mn |
| Dec 30, 2023 | 1.50 Mn |
| Sep 30, 2023 | -1.91 Mn |
| Jul 1, 2023 | -1.46 Mn |
| Apr 1, 2023 | 918,000.00 |
| Dec 31, 2022 | 4.49 Mn |
| Oct 1, 2022 | -4.08 Mn |
| Jul 2, 2022 | -5.09 Mn |
| Apr 2, 2022 | -1.02 Mn |
| Jan 1, 2022 | -65,000.00 |
| Oct 2, 2021 | -497,000.00 |
Moog Exchange Rate Effect 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=exchange-rate-effect&ticker=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();