iSpecimen (ISPC) Intangibles (2023 - 2025)
iSpecimen's Intangibles was $573,034 in Q3 2025, down 25.1% from $764,589 a year earlier and down 7.7% from the prior quarter.
Analysis
iSpecimen (ISPC) Intangibles (2023 - 2025) Analysis & Trends
At the end of FY2024, Intangibles at iSpecimen came in at $716,700, down 21.1% from FY2023.
- In earlier years, Intangibles was $908,255 in FY2023.
- The Q3 2025 figure marks the lowest quarterly Intangibles in data going back to Q4 2023.
- Compared with a year earlier, Intangibles has declined for four straight quarters, with an average decline of 23.0% over the last four quarters.
- Per Business Quant data, ISPC's Intangibles in the three quarters before Q3 2025 was $620,923 (Q2 2025), $668,812 (Q1 2025) and $716,700 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.38 Bn |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 573,034.00 |
| Jun 30, 2025 | 620,923.00 |
| Mar 31, 2025 | 668,812.00 |
| Dec 31, 2024 | 716,700.00 |
| Sep 30, 2024 | 764,589.00 |
| Jun 30, 2024 | 812,478.00 |
| Mar 31, 2024 | 860,366.00 |
| Dec 31, 2023 | 908,255.00 |
API Access
iSpecimen Intangibles 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=intangibles&ticker=ISPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();