Moog (MOG-A) Non-Current Assets (2009 - 2026)
Moog (MOG-A) recorded Non-Current Assets of $2.17 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 8.5% from $2 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Moog (MOG-A) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Moog reported Non-Current Assets of $2.06 billion, up 5.2% from FY2024.
- Annual Non-Current Assets has increased for three straight fiscal years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Across earlier fiscal years, Non-Current Assets came in at $1.96 billion in FY2024 (+6.6%), $1.83 billion in FY2023 (+9.5%), $1.68 billion in FY2022 (-2.3%) and $1.71 billion in FY2021 (+6.3%).
- The fiscal Q3 2026 figure is the highest quarterly Non-Current Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Non-Current Assets has increased for 14 consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 9.5% in fiscal Q4 2023, against a decline of 2.3% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.11 billion (Q2 2026), $2.1 billion (Q1 2026) and $2.06 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.17 Bn |
| Mar 28, 2026 | 2.11 Bn |
| Jan 3, 2026 | 2.10 Bn |
| Sep 27, 2025 | 2.06 Bn |
| Jun 28, 2025 | 2.00 Bn |
| Mar 29, 2025 | 1.99 Bn |
| Dec 28, 2024 | 1.95 Bn |
| Sep 28, 2024 | 1.96 Bn |
| Jun 29, 2024 | 1.93 Bn |
| Mar 30, 2024 | 1.91 Bn |
| Dec 30, 2023 | 1.89 Bn |
| Sep 30, 2023 | 1.83 Bn |
| Jul 1, 2023 | 1.83 Bn |
| Apr 1, 2023 | 1.77 Bn |
| Dec 31, 2022 | 1.72 Bn |
| Oct 1, 2022 | 1.68 Bn |
| Jul 2, 2022 | 1.72 Bn |
| Apr 2, 2022 | 1.73 Bn |
| Jan 1, 2022 | 1.73 Bn |
| Oct 2, 2021 | 1.71 Bn |
API Access
Moog Non-Current Assets 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=non-current-assets&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();