Moog (MOG-A) Restructuring Costs (2009 - 2026)
Moog (MOG-A) reported Restructuring Costs of $2.27 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 20.4% from $2.85 million a year earlier but up 50.7% from the prior quarter.
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Analysis
Moog (MOG-A) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Moog's Restructuring Costs came in at $6.18 million, down 69.4% year-over-year; for FY2025 (ended Sep 27, 2025), it was $10.02 million, down 57.9% from FY2024.
- Restructuring Costs has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- By fiscal year, Restructuring Costs came in at $23.79 million in FY2024 (+197.5%), $8 million in FY2023 (-15.9%) and $9.51 million in FY2022.
- Five-year quarterly Restructuring Costs spans a low of $576,000 in fiscal Q3 2022 and a high of $11.17 million in fiscal Q4 2024.
- Year over year, Restructuring Costs has now declined in each of the last six quarters, with growth averaging 4.9% over the last eight quarters.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q4 2024 (growth of 242.5%); the low point was fiscal Q4 2025 (a decline of 91.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.51 million (Q2 2026), $1.45 million (Q1 2026) and $956,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 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 |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.27 Mn |
| Mar 28, 2026 | 1.51 Mn |
| Jan 3, 2026 | 1.45 Mn |
| Sep 27, 2025 | 956,000.00 |
| Jun 28, 2025 | 2.85 Mn |
| Mar 29, 2025 | 2.43 Mn |
| Dec 28, 2024 | 3.78 Mn |
| Sep 28, 2024 | 11.17 Mn |
| Jun 29, 2024 | 3.98 Mn |
| Mar 30, 2024 | 6.75 Mn |
| Dec 30, 2023 | 1.89 Mn |
| Sep 30, 2023 | 3.26 Mn |
| Jul 1, 2023 | 1.64 Mn |
| Apr 1, 2023 | 2.02 Mn |
| Dec 31, 2022 | 1.08 Mn |
| Oct 1, 2022 | 1.14 Mn |
| Jul 2, 2022 | 576,000.00 |
| Apr 2, 2022 | 7.79 Mn |
| Oct 3, 2020 | 5.39 Mn |
| Jun 27, 2020 | 5.31 Mn |
API Access
Moog Restructuring Costs 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=restructuring-costs&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();