iSpecimen (ISPC) Net Margin (2020 - 2026)
iSpecimen (ISPC) reported Net Margin of -896.94% for Q2 2026, down 750.09 percentage points from -146.85% a year earlier but up 561.45 percentage points from the prior quarter.
iSpecimen (ISPC) Net Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, iSpecimen's Net Margin came in at -2449.04%, down 2276.53 percentage points year-over-year; for FY2025, it was -543.68%, down 409.16 percentage points from FY2024.
- Net Margin has declined for five consecutive years, with a five-year change of -486.83 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at -134.51% in FY2024 (-22.72 pp), -111.80% in FY2023 (-13.30 pp), -98.50% in FY2022 (-18.02 pp) and -80.48% in FY2021 (-23.64 pp).
- Five-year quarterly Net Margin spans a low of -9662.19% in Q4 2025 and a high of -54.09% in Q3 2024.
- Year over year, Net Margin has now declined in each of the last seven quarters, with an average year-over-year change of -1778.81 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was Q2 2024 (a gain of 140.71 percentage points); the low point was Q4 2025 (a drop of 9252.38 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -1458.39% (Q1 2026), -9662.19% (Q4 2025) and -2608.68% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | -896.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -896.94% |
| Mar 31, 2026 | -1,458.39% |
| Dec 31, 2025 | -9,662.19% |
| Sep 30, 2025 | -2,608.68% |
| Jun 30, 2025 | -146.85% |
| Mar 31, 2025 | -156.82% |
| Dec 31, 2024 | -409.81% |
| Sep 30, 2024 | -54.09% |
| Jun 30, 2024 | -73.65% |
| Mar 31, 2024 | -126.73% |
| Dec 31, 2023 | -119.33% |
| Sep 30, 2023 | -76.00% |
| Jun 30, 2023 | -214.36% |
| Mar 31, 2023 | -82.43% |
| Dec 31, 2022 | -72.92% |
| Sep 30, 2022 | -119.83% |
| Jun 30, 2022 | -111.46% |
| Mar 31, 2022 | -94.64% |
| Dec 31, 2021 | -80.44% |
| Sep 30, 2021 | -57.13% |
iSpecimen 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=ISPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "ISPC", "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=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();