Biolife Solutions (BLFS) Inventory (2010 - 2026)
Biolife Solutions (BLFS) posted Inventory of $35.59 million for Q2 2026, up 28.5% from $27.69 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Biolife Solutions (BLFS) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Biolife Solutions' Inventory came in at $30.16 million, up 3.9% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- In prior years, Biolife Solutions' Inventory was $29.01 million in FY2024 (+6.8%), $27.16 million in FY2023 (-22.2%), $34.9 million in FY2022 (+23.1%) and $28.35 million in FY2021 (+144.3%).
- The Q2 2026 figure stands as the highest quarterly Inventory since Q1 2024.
- On a year-over-year basis, Inventory has increased in each of the last three quarters, with an average decline of 4.0% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q3 2021, with growth of 169.1%; the weakest was Q1 2025, with a decline of 36.5%.
- According to Business Quant data, Inventory for the three prior quarters was $32.83 million (Q1 2026), $30.16 million (Q4 2025) and $27.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Biolife Solutions | 1.92 Bn | 1.59 Bn | 18.29 Mn | 35.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.59 Mn |
| Mar 31, 2026 | 32.83 Mn |
| Dec 31, 2025 | 30.16 Mn |
| Sep 30, 2025 | 27.83 Mn |
| Jun 30, 2025 | 27.69 Mn |
| Mar 31, 2025 | 27.57 Mn |
| Dec 31, 2024 | 29.01 Mn |
| Sep 30, 2024 | 32.18 Mn |
| Jun 30, 2024 | 32.50 Mn |
| Mar 31, 2024 | 43.41 Mn |
| Dec 31, 2023 | 27.16 Mn |
| Sep 30, 2023 | 43.35 Mn |
| Jun 30, 2023 | 39.18 Mn |
| Mar 31, 2023 | 41.33 Mn |
| Dec 31, 2022 | 34.90 Mn |
| Sep 30, 2022 | 33.75 Mn |
| Jun 30, 2022 | 33.34 Mn |
| Mar 31, 2022 | 30.20 Mn |
| Dec 31, 2021 | 28.35 Mn |
| Sep 30, 2021 | 29.70 Mn |
API Access
Biolife Solutions Inventory 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=inventory&ticker=BLFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();