Orasure Technologies (OSUR) Return on Sales [ROS] (2010 - 2025)
Orasure Technologies (OSUR) recorded Return on Sales [ROS] of -59.41% in Q3 2025, down 44.38 percentage points from -15.03% a year earlier and down 1.71 percentage points from the prior quarter.
Orasure Technologies (OSUR) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
On a TTM basis, Orasure Technologies' Return on Sales [ROS] came in at -51.14% as of Sep 30, 2025, down 45.82 percentage points year-over-year; for FY2024, it came in at -15.20%, down 23.26 percentage points from FY2023.
- Annual Return on Sales [ROS] has a five-year change of -27.24 percentage points (FY2019 to FY2024).
- Across earlier years, Return on Sales [ROS] came in at 8.06% in FY2023 (+13.78 pp), -5.72% in FY2022 (-1.37 pp), -4.35% in FY2021 (-1.33 pp) and -3.01% in FY2020 (-15.05 pp).
- The Q3 2025 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -30.23 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 43.26 percentage points in Q1 2021, against a drop of 52.66 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -57.70% (Q2 2025), -59.30% (Q1 2025) and -33.16% (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.09 Bn | 228.12 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 180.55 Bn | 150.98 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 160.58 Bn | 144.39 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 157.75 Bn | 138.04 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 122.52 Bn | 87.77 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 118.16 Bn | 104.28 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.55 Bn | 35.55 Bn | 1.35 Bn | 29.48% |
| 10 | Orasure Technologies | 300.41 Mn | -597.49 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -59.41% |
| Jun 30, 2025 | -57.70% |
| Mar 31, 2025 | -59.30% |
| Dec 31, 2024 | -33.16% |
| Sep 30, 2024 | -15.03% |
| Jun 30, 2024 | -5.04% |
| Mar 31, 2024 | -13.10% |
| Dec 31, 2023 | 5.14% |
| Sep 30, 2023 | 12.21% |
| Jun 30, 2023 | -7.52% |
| Mar 31, 2023 | 15.69% |
| Dec 31, 2022 | 11.88% |
| Sep 30, 2022 | 0.74% |
| Jun 30, 2022 | -26.76% |
| Mar 31, 2022 | -23.89% |
| Dec 31, 2021 | -14.74% |
| Sep 30, 2021 | -24.14% |
| Jun 30, 2021 | 3.12% |
| Mar 31, 2021 | 17.79% |
| Dec 31, 2020 | 12.54% |
Orasure Technologies 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=OSUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OSUR", "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=OSUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();