Biolife Solutions (BLFS) Depreciation and Depletion (2010 - 2026)
Biolife Solutions (BLFS) reported Depreciation and Depletion of $400,000 for Q2 2026, up 100.0% from $200,000 a year earlier and unchanged from the prior quarter.
Biolife Solutions (BLFS) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Biolife Solutions' Depreciation and Depletion came in at $1.1 million, up 57.1% year-over-year; for FY2025, it came in at $800,000, up 33.3% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $600,000 in FY2024 (-14.3%), $700,000 in FY2023 (-12.5%), $800,000 in FY2022 (-72.4%) and $2.9 million in FY2021 (+107.1%).
- Five-year quarterly Depreciation and Depletion spans a low of -$2.2 million in Q4 2023 and a high of $1 million in Q3 2023.
- Year over year, Depreciation and Depletion gained in two of the last seven quarters, with growth averaging 17.1%.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2021 (growth of 133.4%); the low point was Q3 2024 (a decline of 80.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $400,000 (Q1 2026), $100,000 (Q4 2025) and $200,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | - |
| 10 | Biolife Solutions | 1.89 Bn | 1.56 Bn | 18.29 Mn | 400,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400,000.00 |
| Mar 31, 2026 | 400,000.00 |
| Dec 31, 2025 | 100,000.00 |
| Sep 30, 2025 | 200,000.00 |
| Jun 30, 2025 | 200,000.00 |
| Mar 31, 2025 | 200,000.00 |
| Dec 31, 2024 | 100,000.00 |
| Sep 30, 2024 | 200,000.00 |
| Jun 30, 2024 | 200,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Dec 31, 2023 | -2.20 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 800,000.00 |
| Mar 31, 2023 | 900,000.00 |
| Dec 31, 2022 | -1.60 Mn |
| Sep 30, 2022 | 900,000.00 |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | 757,000.00 |
| Dec 31, 2021 | 800,000.00 |
| Sep 30, 2021 | 691,000.00 |
Biolife Solutions Depreciation and Depletion 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=depreciation-and-depletion&ticker=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();