Crane (CR) Return on Sales [ROS] (2022 - 2026)
Crane (CR) recorded Return on Sales [ROS] of 19.91% in Q2 2026, up 2.08 percentage points from 17.83% a year earlier and up 5.54 percentage points from the prior quarter.
Crane (CR) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, Crane's Return on Sales [ROS] came in at 17.93% as of Jun 30, 2026, up 0.45 percentage points year-over-year; for FY2025, it was 18.40%, up 1.71 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a four-year change of +7.66 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 16.69% in FY2024 (+3.25 pp), 13.45% in FY2023 (+13.15 pp), 0.30% in FY2022 (-10.45 pp) and 10.75% in FY2021.
- Quarterly Return on Sales [ROS] has ranged from -24.42% in Q3 2022 to 20.10% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +1.46 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 38.89 percentage points in Q3 2023, against a drop of 3.76 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 14.37% (Q1 2026), 17.52% (Q4 2025) and 20.10% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | -47.62% |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 13.37% |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 1.46% |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 11.80% |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 10.48% |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 23.02% |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 28.75% |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 11.41% |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 14.82% |
| 10 | Crane | 11.61 Bn | 10.08 Bn | 314.60 Mn | 18.63% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.63% |
| Jun 30, 2026 | 19.91% |
| Mar 31, 2026 | 14.37% |
| Dec 31, 2025 | 17.52% |
| Sep 30, 2025 | 20.10% |
| Jun 30, 2025 | 17.83% |
| Mar 31, 2025 | 18.13% |
| Dec 31, 2024 | 15.84% |
| Sep 30, 2024 | 18.06% |
| Jun 30, 2024 | 16.89% |
| Mar 31, 2024 | 15.93% |
| Dec 31, 2023 | 12.88% |
| Sep 30, 2023 | 14.48% |
| Jun 30, 2023 | 11.78% |
| Mar 31, 2023 | 14.64% |
| Dec 31, 2022 | 7.03% |
| Sep 30, 2022 | -24.42% |
| Jun 30, 2022 | 8.24% |
| Mar 31, 2022 | 13.03% |
Crane 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=CR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CR", "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=CR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();