Biolife Solutions (BLFS) Income from Discontinued Operations (2023 - 2025)
Biolife Solutions' Income from Discontinued Operations came in at $7.54 million for Q4 2025, down 37.3% from $12.01 million a year earlier.
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Analysis
Biolife Solutions (BLFS) Income from Discontinued Operations (2023 - 2025) Analysis & Trends
Going back to Q2 2023, Biolife Solutions' Income from Discontinued Operations data covers 10 quarters.
- Going back by year, Income from Discontinued Operations was -$11.4 million in FY2024, -$55.85 million in FY2023 and -$140.19 million in FY2022.
- The five-year range for quarterly Income from Discontinued Operations is -$32.84 million (Q4 2023) to $12.01 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Discontinued) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | -74.00 Mn |
| 10 | Biolife Solutions | 1.82 Bn | 1.49 Bn | 18.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.54 Mn |
| Jun 30, 2025 | -517,000.00 |
| Mar 31, 2025 | -719,000.00 |
| Dec 31, 2024 | 12.01 Mn |
| Sep 30, 2024 | -1.23 Mn |
| Jun 30, 2024 | -15.16 Mn |
| Mar 31, 2024 | -7.02 Mn |
| Dec 31, 2023 | -32.84 Mn |
| Sep 30, 2023 | -13.33 Mn |
| Jun 30, 2023 | -4.68 Mn |
API Access
Biolife Solutions Income from Discontinued Operations 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=income-from-discontinued-operations&ticker=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-discontinued-operations", "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=income-from-discontinued-operations&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();