Northrop Grumman (NOC) Operating Expenses (2009 - 2026)
Northrop Grumman's Operating Expenses came in at $9.78 billion for Q2 2026, up 6.8% from $9.16 billion a year earlier and up 10.0% from the prior quarter.
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Analysis
Northrop Grumman (NOC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Northrop Grumman reported Operating Expenses of $38.29 billion, up 4.8% year-over-year; for FY2025, it came in at $37.67 billion, up 2.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $36.66 billion in FY2024 (-0.2%), $36.75 billion in FY2023 (+11.4%), $33 billion in FY2022 (+3.1%) and $32 billion in FY2021 (-2.3%).
- The five-year range for quarterly Operating Expenses is $7.68 billion (Q3 2021) to $11.03 billion (Q4 2023).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 20.9%), and the weakest in Q4 2024 (a decline of 13.0%).
- Business Quant data shows NOC's Operating Expenses at $8.89 billion (Q1 2026), $10.44 billion (Q4 2025) and $9.18 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.87 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn | 332.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.78 Bn |
| Mar 31, 2026 | 8.89 Bn |
| Dec 31, 2025 | 10.44 Bn |
| Sep 30, 2025 | 9.18 Bn |
| Jun 30, 2025 | 9.16 Bn |
| Mar 31, 2025 | 8.90 Bn |
| Dec 31, 2024 | 9.60 Bn |
| Sep 30, 2024 | 8.88 Bn |
| Jun 30, 2024 | 9.13 Bn |
| Mar 31, 2024 | 9.06 Bn |
| Dec 31, 2023 | 11.03 Bn |
| Sep 30, 2023 | 8.76 Bn |
| Jun 30, 2023 | 8.61 Bn |
| Mar 31, 2023 | 8.35 Bn |
| Dec 31, 2022 | 9.13 Bn |
| Sep 30, 2022 | 8.13 Bn |
| Jun 30, 2022 | 7.85 Bn |
| Mar 31, 2022 | 7.90 Bn |
| Dec 31, 2021 | 7.90 Bn |
| Sep 30, 2021 | 7.68 Bn |
API Access
Northrop Grumman Operating Expenses 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=operating-expenses&ticker=NOC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NOC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=NOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();