Rocket Lab (RKLB) Return on Sales [ROS] (2020 - 2026)
Rocket Lab's Return on Sales [ROS] came in at -24.57% for Q2 2026, up 16.70 percentage points from -41.27% a year earlier and up 3.36 percentage points from the prior quarter.
Rocket Lab (RKLB) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rocket Lab reported Return on Sales [ROS] of -29.06%, up 15.02 percentage points year-over-year; for FY2025, it came in at -38.03%, up 5.49 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +118.27 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -43.51% in FY2024 (+29.23 pp), -72.74% in FY2023 (-8.66 pp), -64.08% in FY2022 (+99.90 pp) and -163.97% in FY2021 (-7.68 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q3 2020.
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +13.18 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 938.37 percentage points), and the weakest in Q3 2021 (a drop of 868.74 percentage points).
- Business Quant data shows RKLB's Return on Sales [ROS] at -27.94% (Q1 2026), -28.41% (Q4 2025) and -38.02% (Q3 2025) in the three quarters before Q2 2026.
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 | Rocket Lab | 44.22 Bn | 38.54 Bn | 84.58 Mn | -24.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -24.57% |
| Mar 31, 2026 | -27.94% |
| Dec 31, 2025 | -28.41% |
| Sep 30, 2025 | -38.02% |
| Jun 30, 2025 | -41.27% |
| Mar 31, 2025 | -48.29% |
| Dec 31, 2024 | -38.94% |
| Sep 30, 2024 | -49.52% |
| Jun 30, 2024 | -40.73% |
| Mar 31, 2024 | -46.44% |
| Dec 31, 2023 | -79.82% |
| Sep 30, 2023 | -57.43% |
| Jun 30, 2023 | -72.78% |
| Mar 31, 2023 | -83.83% |
| Dec 31, 2022 | -71.91% |
| Sep 30, 2022 | -50.75% |
| Jun 30, 2022 | -59.77% |
| Mar 31, 2022 | -80.63% |
| Dec 31, 2021 | -88.55% |
| Sep 30, 2021 | -989.12% |
Rocket Lab 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=RKLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RKLB", "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=RKLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();