Northrop Grumman (NOC) Other Operating Expenses (2020 - 2026)
Northrop Grumman (NOC) posted Other Operating Expenses of $8.76 billion for Q2 2026, up 7.5% from $8.14 billion a year earlier and up 10.5% from the prior quarter.
Northrop Grumman (NOC) Other Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Northrop Grumman was $34.29 billion, up 4.9% year-over-year; for FY2025, it was $33.64 billion, up 3.0% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Northrop Grumman's Other Operating Expenses was $32.67 billion in FY2024 (-0.2%), $32.74 billion in FY2023 (+12.4%), $29.13 billion in FY2022 (+2.6%) and $28.4 billion in FY2021 (-3.1%).
- Quarterly Other Operating Expenses has run from a low of $6.79 billion in Q3 2021 to a high of $10.15 billion in Q4 2023 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last five quarters, with growth averaging 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2023, with growth of 23.7%; the weakest was Q4 2024, with a decline of 13.8%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $7.92 billion (Q1 2026), $9.42 billion (Q4 2025) and $8.2 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.76 Bn |
| Mar 31, 2026 | 7.92 Bn |
| Dec 31, 2025 | 9.42 Bn |
| Sep 30, 2025 | 8.20 Bn |
| Jun 30, 2025 | 8.14 Bn |
| Mar 31, 2025 | 7.89 Bn |
| Dec 31, 2024 | 8.75 Bn |
| Sep 30, 2024 | 7.89 Bn |
| Jun 30, 2024 | 8.03 Bn |
| Mar 31, 2024 | 8.00 Bn |
| Dec 31, 2023 | 10.15 Bn |
| Sep 30, 2023 | 7.73 Bn |
| Jun 30, 2023 | 7.54 Bn |
| Mar 31, 2023 | 7.32 Bn |
| Dec 31, 2022 | 8.21 Bn |
| Sep 30, 2022 | 7.15 Bn |
| Jun 30, 2022 | 6.84 Bn |
| Mar 31, 2022 | 6.92 Bn |
| Dec 31, 2021 | 7.09 Bn |
| Sep 30, 2021 | 6.79 Bn |
Northrop Grumman Other 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=other-operating-expenses&ticker=NOC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();