Northrop Grumman (NOC) Return on Sales [ROS] (2009 - 2026)
Northrop Grumman (NOC) posted Return on Sales [ROS] of 10.08% for Q2 2026, down 3.69 percentage points from 13.77% a year earlier but up 0.07 percentage points from the prior quarter.
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Analysis
Northrop Grumman (NOC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Northrop Grumman was 10.72%, up 0.33 percentage points year-over-year; for FY2025, it was 10.75%, up 0.10 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -0.29 percentage points (FY2020 to FY2025).
- In prior years, Northrop Grumman's Return on Sales [ROS] was 10.65% in FY2024 (+4.19 pp), 6.46% in FY2023 (-3.38 pp), 9.84% in FY2022 (-6.01 pp) and 15.84% in FY2021 (+4.80 pp).
- Quarterly Return on Sales [ROS] has run from a low of -3.69% in Q4 2023 to a high of 13.77% in Q2 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +1.86 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 13.89 percentage points; the weakest was Q1 2022, with a drop of 20.62 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 10.01% (Q1 2026), 10.85% (Q4 2025) and 11.92% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 44.76% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.08% |
| Mar 31, 2026 | 10.01% |
| Dec 31, 2025 | 10.85% |
| Sep 30, 2025 | 11.92% |
| Jun 30, 2025 | 13.77% |
| Mar 31, 2025 | 6.05% |
| Dec 31, 2024 | 10.19% |
| Sep 30, 2024 | 11.20% |
| Jun 30, 2024 | 10.67% |
| Mar 31, 2024 | 10.57% |
| Dec 31, 2023 | -3.69% |
| Sep 30, 2023 | 10.39% |
| Jun 30, 2023 | 10.10% |
| Mar 31, 2023 | 10.18% |
| Dec 31, 2022 | 9.03% |
| Sep 30, 2022 | 9.41% |
| Jun 30, 2022 | 10.84% |
| Mar 31, 2022 | 10.20% |
| Dec 31, 2021 | 8.59% |
| Sep 30, 2021 | 11.96% |
API Access
Northrop Grumman Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NOC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NOC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();