Moog (MOG-A) Cash & Equivalents (2009 - 2026)
Moog's Cash & Equivalents came in at $66.82 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 14.8% from $58.19 million a year earlier but down 78.3% from the prior quarter.
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Analysis
Moog (MOG-A) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Moog's Cash & Equivalents was $62.01 million, up 0.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $61.69 million in FY2024 (-10.5%), $68.96 million in FY2023 (-32.4%), $101.99 million in FY2022 (+2.4%) and $99.6 million in FY2021 (+17.8%).
- The five-year range for quarterly Cash & Equivalents is $50.57 million (fiscal Q3 2024) to $307.55 million (fiscal Q2 2026).
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 47.3%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2026 (growth of 395.1%), and the weakest in fiscal Q3 2024 (a decline of 58.7%).
- Business Quant data shows MOG-A's Cash & Equivalents at $307.55 million (Q2 2026), $73.36 million (Q1 2026) and $62.01 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Moog | 11.17 Bn | 10.66 Bn | 347.25 Mn | 66.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 66.82 Mn |
| Mar 28, 2026 | 307.55 Mn |
| Jan 3, 2026 | 73.36 Mn |
| Sep 27, 2025 | 62.01 Mn |
| Jun 28, 2025 | 58.19 Mn |
| Mar 29, 2025 | 62.12 Mn |
| Dec 28, 2024 | 73.45 Mn |
| Sep 28, 2024 | 61.69 Mn |
| Jun 29, 2024 | 50.57 Mn |
| Mar 30, 2024 | 59.07 Mn |
| Dec 30, 2023 | 126.40 Mn |
| Sep 30, 2023 | 68.96 Mn |
| Jul 1, 2023 | 122.51 Mn |
| Apr 1, 2023 | 107.01 Mn |
| Dec 31, 2022 | 143.07 Mn |
| Oct 1, 2022 | 101.99 Mn |
| Jul 2, 2022 | 93.91 Mn |
| Apr 2, 2022 | 120.40 Mn |
| Jan 1, 2022 | 105.21 Mn |
| Oct 2, 2021 | 99.60 Mn |
API Access
Moog Cash & Equivalents 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=cash-and-equivalents&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();