iSpecimen (ISPC) Amortizatization of Intangibles (2020 - 2026)
iSpecimen (ISPC) reported Amortizatization of Intangibles of $199,343 for Q2 2026, down 45.8% from $367,718 a year earlier but up 49.3% from the prior quarter.
iSpecimen (ISPC) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, iSpecimen's Amortizatization of Intangibles came in at $1.07 million, down 37.0% year-over-year; for FY2025, it came in at $1.47 million, down 27.8% from FY2024.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $2.04 million in FY2024 (+4.6%), $1.95 million in FY2023 (+64.7%), $1.18 million in FY2022 (+23.4%) and $958,639 in FY2021 (+23.7%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $133,536 in Q1 2026 and a high of $542,805 in Q2 2024.
- Year over year, Amortizatization of Intangibles has now declined in each of the last eight quarters, with an average decline of 28.7% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q2 2023 (growth of 87.9%); the low point was Q1 2026 (a decline of 63.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $133,536 (Q1 2026), $342,719 (Q4 2025) and $392,718 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | iSpecimen | 1.64 Mn | -15.25 Mn | 68,650.00 | 199,343.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199,343.00 |
| Mar 31, 2026 | 133,536.00 |
| Dec 31, 2025 | 342,719.00 |
| Sep 30, 2025 | 392,718.00 |
| Jun 30, 2025 | 367,718.00 |
| Mar 31, 2025 | 367,718.00 |
| Dec 31, 2024 | 483,042.00 |
| Sep 30, 2024 | 478,384.00 |
| Jun 30, 2024 | 542,805.00 |
| Mar 31, 2024 | 532,750.00 |
| Dec 31, 2023 | 518,903.00 |
| Sep 30, 2023 | 494,353.00 |
| Jun 30, 2023 | 501,502.00 |
| Mar 31, 2023 | 433,326.00 |
| Dec 31, 2022 | 356,962.00 |
| Sep 30, 2022 | 292,692.00 |
| Jun 30, 2022 | 266,893.00 |
| Mar 31, 2022 | 266,219.00 |
| Dec 31, 2021 | 244,195.00 |
| Sep 30, 2021 | 242,860.00 |
iSpecimen Amortizatization of 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=amortizatization-of-intangibles&ticker=ISPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();