Moog (MOG-A) Depreciation and Depletion (2009 - 2026)
Moog (MOG-A) recorded Depreciation and Depletion of $29.45 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 25.4% from $23.47 million a year earlier and up 16.4% from the prior quarter.
Powered by 
Analysis
Moog (MOG-A) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a TTM basis, Moog's Depreciation and Depletion came in at $105.39 million as of Jun 27, 2026, up 16.1% year-over-year; for FY2025 (ended Sep 27, 2025), it was $94.01 million, up 9.5% from FY2024.
- Annual Depreciation and Depletion has increased for three straight fiscal years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation and Depletion came in at $85.88 million in FY2024 (+10.4%), $77.76 million in FY2023 (+3.4%), $75.24 million in FY2022 (-1.9%) and $76.67 million in FY2021 (+3.3%).
- The fiscal Q3 2026 figure is the highest quarterly Depreciation and Depletion in data going back to fiscal Q4 2009.
- On a year-over-year basis, Depreciation and Depletion has increased for 13 consecutive quarters, with growth averaging 11.8% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 25.4% in fiscal Q3 2026, against a decline of 6.9% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $25.3 million (Q2 2026), $24.89 million (Q1 2026) and $25.76 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Moog | 11.17 Bn | 10.66 Bn | 347.25 Mn | 29.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 29.45 Mn |
| Mar 28, 2026 | 25.30 Mn |
| Jan 3, 2026 | 24.89 Mn |
| Sep 27, 2025 | 25.76 Mn |
| Jun 28, 2025 | 23.47 Mn |
| Mar 29, 2025 | 22.35 Mn |
| Dec 28, 2024 | 22.43 Mn |
| Sep 28, 2024 | 22.54 Mn |
| Jun 29, 2024 | 21.63 Mn |
| Mar 30, 2024 | 21.01 Mn |
| Dec 30, 2023 | 20.70 Mn |
| Sep 30, 2023 | 20.98 Mn |
| Jul 1, 2023 | 19.97 Mn |
| Apr 1, 2023 | 18.42 Mn |
| Dec 31, 2022 | 18.39 Mn |
| Oct 1, 2022 | 19.07 Mn |
| Jul 2, 2022 | 17.85 Mn |
| Apr 2, 2022 | 19.03 Mn |
| Jan 1, 2022 | 19.29 Mn |
| Oct 2, 2021 | 19.87 Mn |
API Access
Moog Depreciation and Depletion 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=depreciation-and-depletion&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();