Osi Systems (OSIS) Return on Sales [ROS] (2010 - 2026)
Osi Systems (OSIS) recorded Return on Sales [ROS] of 15.26% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.80 percentage points from 14.46% a year earlier and up 3.52 percentage points from the prior quarter.
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Analysis
Osi Systems (OSIS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Osi Systems reported Return on Sales [ROS] of 12.26%, down 0.44 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +2.20 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 12.70% in FY2025 (+0.41 pp), 12.29% in FY2024 (+1.70 pp), 10.58% in FY2023 (+0.29 pp) and 10.29% in FY2022 (+0.23 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2011.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +0.06 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 5.39 percentage points in fiscal Q2 2024, against a drop of 2.01 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 11.74% (Q3 2026), 12.67% (Q2 2026) and 8.60% (Q1 2026).
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 | Osi Systems | 3.13 Bn | 1.97 Bn | 167.95 Mn | 15.26% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.26% |
| Mar 31, 2026 | 11.74% |
| Dec 31, 2025 | 12.67% |
| Sep 30, 2025 | 8.60% |
| Jun 30, 2025 | 14.46% |
| Mar 31, 2025 | 12.65% |
| Dec 31, 2024 | 13.81% |
| Sep 30, 2024 | 8.82% |
| Jun 30, 2024 | 13.06% |
| Mar 31, 2024 | 12.67% |
| Dec 31, 2023 | 14.02% |
| Sep 30, 2023 | 8.08% |
| Jun 30, 2023 | 13.88% |
| Mar 31, 2023 | 11.34% |
| Dec 31, 2022 | 8.62% |
| Sep 30, 2022 | 6.83% |
| Jun 30, 2022 | 11.74% |
| Mar 31, 2022 | 9.79% |
| Dec 31, 2021 | 10.51% |
| Sep 30, 2021 | 8.84% |
API Access
Osi Systems 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=OSIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OSIS", "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=OSIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();