Pulse Biosciences (PLSE) Operating Expenses (2015 - 2026)
Pulse Biosciences' Operating Expenses was $25.71 million in Q2 2026, up 26.8% from $20.28 million a year earlier.
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Analysis
Pulse Biosciences (PLSE) Operating Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pulse Biosciences' Operating Expenses was $84.95 million through Jun 30, 2026, up 17.6% year-over-year; for FY2025, it was $77.29 million, up 37.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $56.26 million in FY2024 (+29.1%), $43.57 million in FY2023 (-25.8%), $58.76 million in FY2022 (-8.8%) and $64.43 million in FY2021 (+29.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2015.
- Compared with a year earlier, Operating Expenses was higher in six of the last seven quarters, with growth averaging 42.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 72.9%); the worst was Q4 2022 (a decline of 46.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Pulse Biosciences | 3.53 Bn | 3.53 Bn | 161,000.00 | 25.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.71 Mn |
| Dec 31, 2025 | 18.52 Mn |
| Sep 30, 2025 | 20.45 Mn |
| Jun 30, 2025 | 20.28 Mn |
| Mar 31, 2025 | 18.04 Mn |
| Dec 31, 2024 | 20.26 Mn |
| Sep 30, 2024 | 13.66 Mn |
| Jun 30, 2024 | 11.73 Mn |
| Mar 31, 2024 | 10.62 Mn |
| Dec 31, 2023 | 12.53 Mn |
| Sep 30, 2023 | 11.25 Mn |
| Jun 30, 2023 | 10.23 Mn |
| Mar 31, 2023 | 9.56 Mn |
| Dec 31, 2022 | 8.74 Mn |
| Sep 30, 2022 | 18.03 Mn |
| Jun 30, 2022 | 14.28 Mn |
| Mar 31, 2022 | 17.72 Mn |
| Dec 31, 2021 | 16.25 Mn |
| Sep 30, 2021 | 14.85 Mn |
| Jun 30, 2021 | 14.81 Mn |
API Access
Pulse Biosciences Operating Expenses 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=operating-expenses&ticker=PLSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PLSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();