Standard Biotools (LAB) Return on Sales [ROS] (2010 - 2026)
Standard Biotools (LAB) recorded Return on Sales [ROS] of -101.98% in Q3 2026, up 66.49 percentage points from -168.46% a year earlier and up 24.31 percentage points from the prior quarter.
Standard Biotools (LAB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Standard Biotools' Return on Sales [ROS] came in at -97.47% as of Sep 30, 2026, up 31.93 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 four of the last eight quarters, with an average year-over-year change of +9.07 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 -126.28% (Q2 2026), -59.09% (Q1 2026) and -103.57% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 6.36% |
| 10 | Standard Biotools | 280.22 Mn | -1.30 Bn | 10.83 Mn | -101.98% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -101.98% |
| 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% |
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_KEY
import 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();