Biolife Solutions (BLFS) Property, Plant & Equipment (Net) (2010 - 2026)
Biolife Solutions (BLFS) reported Property, Plant & Equipment (Net) of $15.24 million for Q2 2026, up 98.8% from $7.67 million a year earlier and up 5.0% from the prior quarter.
Biolife Solutions (BLFS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Biolife Solutions posted Property, Plant & Equipment (Net) of $14.71 million, up 146.3% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $5.97 million in FY2024 (+5.0%), $5.69 million in FY2023 (-75.9%), $23.64 million in FY2022 (+33.9%) and $17.66 million in FY2021 (+74.5%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last three quarters, with growth averaging 24.1% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q3 2021 (growth of 229.5%); the low point was Q4 2023 (a decline of 75.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.5 million (Q1 2026), $14.71 million (Q4 2025) and $11.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Biolife Solutions | 1.82 Bn | 1.49 Bn | 18.29 Mn | 15.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.24 Mn |
| Mar 31, 2026 | 14.50 Mn |
| Dec 31, 2025 | 14.71 Mn |
| Sep 30, 2025 | 11.10 Mn |
| Jun 30, 2025 | 7.67 Mn |
| Mar 31, 2025 | 6.61 Mn |
| Dec 31, 2024 | 5.97 Mn |
| Sep 30, 2024 | 17.71 Mn |
| Jun 30, 2024 | 17.26 Mn |
| Mar 31, 2024 | 21.04 Mn |
| Dec 31, 2023 | 5.69 Mn |
| Sep 30, 2023 | 21.00 Mn |
| Jun 30, 2023 | 25.57 Mn |
| Mar 31, 2023 | 26.10 Mn |
| Dec 31, 2022 | 23.64 Mn |
| Sep 30, 2022 | 21.74 Mn |
| Jun 30, 2022 | 19.12 Mn |
| Mar 31, 2022 | 18.26 Mn |
| Dec 31, 2021 | 17.66 Mn |
| Sep 30, 2021 | 17.46 Mn |
Biolife Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();