Pulse Biosciences (PLSE) Accumulated Depreciation (2015 - 2025)
Pulse Biosciences' Accumulated Depreciation came in at $4.37 million for Q4 2025, up 10.2% from $3.97 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Pulse Biosciences (PLSE) Accumulated Depreciation (2015 - 2025) Analysis & Trends
Going back to Q4 2015, Pulse Biosciences' Accumulated Depreciation data covers 41 quarters.
- Accumulated Depreciation has increased in each of the last ten years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $3.97 million in FY2024 (+14.2%), $3.48 million in FY2023 (+17.7%), $2.95 million in FY2022 (+23.2%) and $2.4 million in FY2021 (+25.1%).
- The Q4 2025 figure represents the highest quarterly Accumulated Depreciation in data going back to Q4 2015.
- Year-over-year, Accumulated Depreciation has increased for 37 consecutive quarters, with growth averaging 13.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Depreciation ranged from 10.2% (Q4 2025) to 28.7% (Q3 2022).
- Business Quant data shows PLSE's Accumulated Depreciation at $4.28 million (Q3 2025), $4.19 million (Q2 2025) and $4.09 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Pulse Biosciences | 3.53 Bn | 3.53 Bn | 161,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.37 Mn |
| Sep 30, 2025 | 4.28 Mn |
| Jun 30, 2025 | 4.19 Mn |
| Mar 31, 2025 | 4.09 Mn |
| Dec 31, 2024 | 3.97 Mn |
| Sep 30, 2024 | 3.87 Mn |
| Jun 30, 2024 | 3.74 Mn |
| Mar 31, 2024 | 3.61 Mn |
| Dec 31, 2023 | 3.48 Mn |
| Sep 30, 2023 | 3.36 Mn |
| Jun 30, 2023 | 3.22 Mn |
| Mar 31, 2023 | 3.09 Mn |
| Dec 31, 2022 | 2.95 Mn |
| Sep 30, 2022 | 2.92 Mn |
| Jun 30, 2022 | 2.74 Mn |
| Mar 31, 2022 | 2.56 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | 2.27 Mn |
| Jun 30, 2021 | 2.15 Mn |
| Mar 31, 2021 | 2.03 Mn |
API Access
Pulse Biosciences Accumulated Depreciation 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=accumulated-depreciation&ticker=PLSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "PLSE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=PLSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();