Pulse Biosciences (PLSE) Selling, General & Administrative (2015 - 2026)
Pulse Biosciences (PLSE) reported Selling, General & Administrative of $8.46 million for Q2 2026, up 3.3% from $8.19 million a year earlier.
Pulse Biosciences (PLSE) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pulse Biosciences' Selling, General & Administrative came in at $32.76 million, up 4.1% year-over-year; for FY2025, it came in at $32.03 million, up 33.9% from FY2024.
- Selling, General & Administrative has increased for three consecutive years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $23.92 million in FY2024 (+51.6%), $15.78 million in FY2023 (+13.1%), $13.96 million in FY2022 (-26.8%) and $19.07 million in FY2021 (+17.3%).
- Five-year quarterly Selling, General & Administrative spans a low of $2.58 million in Q4 2022 and a high of $9.6 million in Q4 2024.
- Year over year, Selling, General & Administrative gained in six of the last seven quarters, with growth averaging 52.7%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2024 (growth of 102.8%); the low point was Q4 2022 (a decline of 51.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Pulse Biosciences | 3.39 Bn | 3.39 Bn | 161,000.00 | 8.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.46 Mn |
| Dec 31, 2025 | 7.33 Mn |
| Sep 30, 2025 | 8.78 Mn |
| Jun 30, 2025 | 8.19 Mn |
| Mar 31, 2025 | 7.73 Mn |
| Dec 31, 2024 | 9.60 Mn |
| Sep 30, 2024 | 5.95 Mn |
| Jun 30, 2024 | 4.50 Mn |
| Mar 31, 2024 | 3.87 Mn |
| Dec 31, 2023 | 4.73 Mn |
| Sep 30, 2023 | 3.78 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 2.58 Mn |
| Sep 30, 2022 | 3.09 Mn |
| Jun 30, 2022 | 3.79 Mn |
| Mar 31, 2022 | 4.50 Mn |
| Dec 31, 2021 | 5.30 Mn |
| Sep 30, 2021 | 4.26 Mn |
| Jun 30, 2021 | 4.20 Mn |
Pulse Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=PLSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PLSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();