Standard Biotools (LAB) Return on Sales [ROS] (2010 - 2026)
Standard Biotools (LAB) recorded Return on Sales [ROS] of -126.28% in Q2 2026, down 8.20 percentage points from -118.08% a year earlier and down 67.19 percentage points from the prior quarter.
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Analysis
Standard Biotools (LAB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Standard Biotools' Return on Sales [ROS] came in at -112.85% as of Jun 30, 2026, up 5.84 percentage points year-over-year; for FY2025, it came in at -129.20%, up 10.88 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -92.26 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -140.08% in FY2024 (-68.05 pp), -72.03% in FY2023 (+46.61 pp), -118.64% in FY2022 (-66.98 pp) and -51.66% in FY2021 (-14.72 pp).
- Quarterly Return on Sales [ROS] has ranged from -205.37% in Q2 2022 to -29.42% in Q4 2021 over the past five years.
- 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 -3.92 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 142.30 percentage points in Q2 2023, against a drop of 149.70 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -59.09% (Q1 2026), -103.57% (Q4 2025) and -168.46% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 13.31% |
| 10 | Standard Biotools | 286.25 Mn | -1.03 Bn | 10.54 Mn | -126.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -126.28% |
| Mar 31, 2026 | -59.09% |
| Dec 31, 2025 | -103.57% |
| Sep 30, 2025 | -168.46% |
| Jun 30, 2025 | -118.08% |
| Mar 31, 2025 | -133.37% |
| Dec 31, 2024 | -105.27% |
| Sep 30, 2024 | -120.89% |
| Jun 30, 2024 | -134.54% |
| Mar 31, 2024 | -132.15% |
| Dec 31, 2023 | -75.87% |
| Sep 30, 2023 | -83.46% |
| Jun 30, 2023 | -63.07% |
| Mar 31, 2023 | -66.06% |
| Dec 31, 2022 | -78.13% |
| Sep 30, 2022 | -113.18% |
| Jun 30, 2022 | -205.37% |
| Mar 31, 2022 | -103.77% |
| Dec 31, 2021 | -29.42% |
| Sep 30, 2021 | -68.80% |
API Access
Standard Biotools 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=LAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LAB", "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=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();