Moog (MOG-A) Cost of Revenue (2009 - 2026)
Moog's Cost of Revenue came in at $769.3 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 10.4% from $696.91 million a year earlier and up 0.6% from the prior quarter.
Moog (MOG-A) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Moog reported Cost of Revenue of $3.1 billion, up 15.1% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $2.79 billion, up 7.9% from FY2024.
- Cost of Revenue has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $2.59 billion in FY2024 (+7.3%), $2.41 billion in FY2023 (+9.2%), $2.21 billion in FY2022 (+6.5%) and $2.08 billion in FY2021 (-2.0%).
- The five-year range for quarterly Cost of Revenue is $528.72 million (fiscal Q4 2021) to $806.11 million (fiscal Q1 2026).
- Year-over-year, Cost of Revenue has increased for 19 consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2026 (growth of 21.6%), and the weakest in fiscal Q4 2021 (a decline of 0.4%).
- Business Quant data shows MOG-A's Cost of Revenue at $764.39 million (Q2 2026), $806.11 million (Q1 2026) and $759.83 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Moog | 11.17 Bn | 10.66 Bn | 347.25 Mn | 769.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 769.30 Mn |
| Mar 28, 2026 | 764.39 Mn |
| Jan 3, 2026 | 806.11 Mn |
| Sep 27, 2025 | 759.83 Mn |
| Jun 28, 2025 | 696.91 Mn |
| Mar 29, 2025 | 675.26 Mn |
| Dec 28, 2024 | 662.80 Mn |
| Sep 28, 2024 | 657.66 Mn |
| Jun 29, 2024 | 656.87 Mn |
| Mar 30, 2024 | 661.20 Mn |
| Dec 30, 2023 | 613.79 Mn |
| Sep 30, 2023 | 614.65 Mn |
| Jul 1, 2023 | 627.54 Mn |
| Apr 1, 2023 | 615.48 Mn |
| Dec 31, 2022 | 556.42 Mn |
| Oct 1, 2022 | 564.64 Mn |
| Jul 2, 2022 | 560.97 Mn |
| Apr 2, 2022 | 556.07 Mn |
| Jan 1, 2022 | 529.71 Mn |
| Oct 2, 2021 | 528.72 Mn |
Moog Cost of Revenue 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=cost-of-revenue&ticker=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();