Moog (MOG-A) Total Liabilities (2009 - 2026)
Moog (MOG-A) posted Total Liabilities of $2.55 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 3.2% from $2.47 billion a year earlier but down 9.0% from the prior quarter.
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Analysis
Moog (MOG-A) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Moog's Total Liabilities came in at $2.43 billion, up 8.2% from FY2024.
- Annual Total Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior fiscal years, Moog's Total Liabilities was $2.25 billion in FY2024 (+3.8%), $2.17 billion in FY2023 (+8.6%), $2 billion in FY2022 (-1.9%) and $2.03 billion in FY2021 (+2.5%).
- Quarterly Total Liabilities has run from a low of $1.96 billion in fiscal Q1 2022 to a high of $2.8 billion in fiscal Q2 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 15 quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2023, with growth of 12.6%; the weakest was fiscal Q1 2022, with a decline of 5.0%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $2.8 billion (Q2 2026), $2.49 billion (Q1 2026) and $2.43 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 2.55 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.55 Bn |
| Mar 28, 2026 | 2.80 Bn |
| Jan 3, 2026 | 2.49 Bn |
| Sep 27, 2025 | 2.43 Bn |
| Jun 28, 2025 | 2.47 Bn |
| Mar 29, 2025 | 2.50 Bn |
| Dec 28, 2024 | 2.40 Bn |
| Sep 28, 2024 | 2.25 Bn |
| Jun 29, 2024 | 2.32 Bn |
| Mar 30, 2024 | 2.32 Bn |
| Dec 30, 2023 | 2.30 Bn |
| Sep 30, 2023 | 2.17 Bn |
| Jul 1, 2023 | 2.26 Bn |
| Apr 1, 2023 | 2.12 Bn |
| Dec 31, 2022 | 2.13 Bn |
| Oct 1, 2022 | 2.00 Bn |
| Jul 2, 2022 | 2.01 Bn |
| Apr 2, 2022 | 2.01 Bn |
| Jan 1, 2022 | 1.96 Bn |
| Oct 2, 2021 | 2.03 Bn |
API Access
Moog Total Liabilities 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=total-liabilities&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();