Pulse Biosciences (PLSE) Net Margin (2021 - 2026)
Pulse Biosciences (PLSE) recorded Net Margin of -5681.34% in Q2 2026.
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Analysis
Pulse Biosciences (PLSE) Net Margin (2021 - 2026) Analysis & Trends
On a TTM basis, Pulse Biosciences' Net Margin came in at -10286.10% as of Jun 30, 2026; for FY2025, it was -20794.57%.
- Annual Net Margin has a four-year change of -16305.15 percentage points (FY2021 to FY2025).
- Across earlier years, Net Margin came in at -8357.86% in FY2022 (-3868.44 pp) and -4489.42% in FY2021.
- The Q2 2026 figure is the highest quarterly Net Margin since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 16.67% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 13.89% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 7.57% |
| 10 | Pulse Biosciences | 3.53 Bn | 3.53 Bn | 161,000.00 | -5,681.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,681.34% |
| Dec 31, 2025 | -6,603.41% |
| Sep 30, 2025 | -22,540.70% |
| Jun 30, 2022 | -4,665.33% |
| Mar 31, 2022 | -3,890.32% |
| Dec 31, 2021 | -1,826.54% |
| Sep 30, 2021 | -2,488.15% |
API Access
Pulse Biosciences Net Margin 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=net-margin&ticker=PLSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=PLSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();