iSpecimen (ISPC) EBITDA Margin (2020 - 2026)
iSpecimen's EBITDA Margin was -633.26% in Q2 2026, down 490.09 percentage points from -143.17% a year earlier but up 821.09 percentage points from the prior quarter.
iSpecimen (ISPC) EBITDA Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, iSpecimen's EBITDA Margin was -1532.98% through Jun 30, 2026, down 1408.53 percentage points year-over-year; for FY2025, it came in at -299.44%, down 209.06 percentage points from FY2024.
- EBITDA Margin shows a five-year change of -280.05 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -90.37% in FY2024 (-18.80 pp), -71.58% in FY2023 (+14.76 pp), -86.34% in FY2022 (-42.14 pp) and -44.20% in FY2021 (-24.81 pp).
- Quarterly EBITDA Margin has moved between -3743.03% (Q4 2025) and -25.70% (Q3 2024) over five years.
- Compared with a year earlier, EBITDA Margin has declined for five straight quarters, with an average year-over-year change of -927.41 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2024 (a gain of 149.98 percentage points); the worst was Q4 2025 (a drop of 3417.09 percentage points).
- Per Business Quant data, ISPC's EBITDA Margin in the three quarters before Q2 2026 was -1454.35% (Q1 2026), -3743.03% (Q4 2025) and -1857.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 31.93% |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | -633.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -633.26% |
| Mar 31, 2026 | -1,454.35% |
| Dec 31, 2025 | -3,743.03% |
| Sep 30, 2025 | -1,857.34% |
| Jun 30, 2025 | -143.17% |
| Mar 31, 2025 | -79.24% |
| Dec 31, 2024 | -325.95% |
| Sep 30, 2024 | -25.70% |
| Jun 30, 2024 | -36.04% |
| Mar 31, 2024 | -81.71% |
| Dec 31, 2023 | -90.63% |
| Sep 30, 2023 | -60.35% |
| Jun 30, 2023 | -186.03% |
| Mar 31, 2023 | -70.18% |
| Dec 31, 2022 | -59.96% |
| Sep 30, 2022 | -108.54% |
| Jun 30, 2022 | -98.93% |
| Mar 31, 2022 | -82.88% |
| Dec 31, 2021 | -68.21% |
| Sep 30, 2021 | -44.33% |
iSpecimen EBITDA 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=ebitda-margin&ticker=ISPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();