Moog (MOG-A) Prepaid Assets (2009 - 2026)
Moog's Prepaid Assets was $115.46 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 24.8% from $153.48 million a year earlier but up 9.1% from the prior quarter.
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Analysis
Moog (MOG-A) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Prepaid Assets at Moog came in at $142.35 million, up 62.2% from FY2024.
- Prepaid Assets has now increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- In earlier fiscal years, Prepaid Assets was $87.75 million in FY2024 (+36.5%), $64.26 million in FY2023 (+6.5%), $60.35 million in FY2022 (+2.6%) and $58.84 million in FY2021 (+18.1%).
- Quarterly Prepaid Assets has moved between $52.77 million (fiscal Q1 2023) and $153.48 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Prepaid Assets was higher in seven of the last eight quarters, with growth averaging 33.4%.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q3 2025 (growth of 111.4%); the worst was fiscal Q3 2026 (a decline of 24.8%).
- Per Business Quant data, MOG-A's Prepaid Assets in the three fiscal quarters before Q3 2026 was $105.83 million (Q2 2026), $88.91 million (Q1 2026) and $142.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn |
| 10 | Moog | 9.75 Bn | 9.24 Bn | 347.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 115.46 Mn |
| Mar 28, 2026 | 105.83 Mn |
| Jan 3, 2026 | 88.91 Mn |
| Sep 27, 2025 | 142.35 Mn |
| Jun 28, 2025 | 153.48 Mn |
| Mar 29, 2025 | 95.55 Mn |
| Dec 28, 2024 | 77.78 Mn |
| Sep 28, 2024 | 87.75 Mn |
| Jun 29, 2024 | 72.60 Mn |
| Mar 30, 2024 | 75.91 Mn |
| Dec 30, 2023 | 59.58 Mn |
| Sep 30, 2023 | 64.26 Mn |
| Jul 1, 2023 | 52.83 Mn |
| Apr 1, 2023 | 64.50 Mn |
| Dec 31, 2022 | 52.77 Mn |
| Oct 1, 2022 | 60.35 Mn |
| Jul 2, 2022 | 60.69 Mn |
| Apr 2, 2022 | 67.80 Mn |
| Jan 1, 2022 | 63.71 Mn |
| Oct 2, 2021 | 58.84 Mn |
API Access
Moog Prepaid 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=prepaid-assets&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();