Biolife Solutions (BLFS) Return on Sales [ROS] (2010 - 2026)
Biolife Solutions (BLFS) reported Return on Sales [ROS] of 5.96% for Q2 2026, up 74.76 percentage points from -68.80% a year earlier and up 5.86 percentage points from the prior quarter.
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Analysis
Biolife Solutions (BLFS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Biolife Solutions' Return on Sales [ROS] came in at 2.90%, up 23.02 percentage points year-over-year; for FY2025, it was -17.26%, down 11.26 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -4.28 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -6.00% in FY2024 (+19.30 pp), -25.30% in FY2023 (-17.53 pp), -7.77% in FY2022 (+21.74 pp) and -29.51% in FY2021 (-16.53 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -188.89% in Q2 2022 and a high of 7.17% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of +16.50 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2023 (a gain of 152.54 percentage points); the low point was Q2 2022 (a drop of 174.29 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.10% (Q1 2026), 7.17% (Q4 2025) and -0.32% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Biolife Solutions | 1.82 Bn | 1.49 Bn | 18.29 Mn | 5.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.96% |
| Mar 31, 2026 | 0.10% |
| Dec 31, 2025 | 7.17% |
| Sep 30, 2025 | -0.32% |
| Jun 30, 2025 | -68.80% |
| Mar 31, 2025 | -2.26% |
| Dec 31, 2024 | 3.59% |
| Sep 30, 2024 | -1.95% |
| Jun 30, 2024 | -6.62% |
| Mar 31, 2024 | -17.88% |
| Dec 31, 2023 | -28.98% |
| Sep 30, 2023 | -65.65% |
| Jun 30, 2023 | -36.35% |
| Mar 31, 2023 | -36.08% |
| Dec 31, 2022 | -7.77% |
| Sep 30, 2022 | -28.81% |
| Jun 30, 2022 | -188.89% |
| Mar 31, 2022 | -22.00% |
| Dec 31, 2021 | -49.50% |
| Sep 30, 2021 | -33.01% |
API Access
Biolife Solutions 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=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BLFS", "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=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();