iSpecimen (ISPC) Cost of Revenue (2020 - 2026)
iSpecimen (ISPC) posted Cost of Revenue of $83,290 for Q2 2026, down 81.2% from $444,177 a year earlier and down 1.3% from the prior quarter.
iSpecimen (ISPC) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at iSpecimen was $971,132, down 75.6% year-over-year; for FY2025, it was $1.9 million, down 64.1% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- In prior years, iSpecimen's Cost of Revenue was $5.3 million in FY2024 (+10.0%), $4.82 million in FY2023 (+1.3%), $4.76 million in FY2022 (-9.4%) and $5.25 million in FY2021 (+46.4%).
- The Q2 2026 figure stands as the lowest quarterly Cost of Revenue in data going back to Q2 2020.
- On a year-over-year basis, Cost of Revenue has declined in each of the last seven quarters, with an average decline of 51.1% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2024, with growth of 66.9%; the weakest was Q1 2026, with a decline of 87.2%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $84,410 (Q1 2026), $598,839 (Q4 2025) and $204,593 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 392.40 Mn |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | 83,290.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83,290.00 |
| Mar 31, 2026 | 84,410.00 |
| Dec 31, 2025 | 598,839.00 |
| Sep 30, 2025 | 204,593.00 |
| Jun 30, 2025 | 444,177.00 |
| Mar 31, 2025 | 657,279.00 |
| Dec 31, 2024 | 1.32 Mn |
| Sep 30, 2024 | 1.55 Mn |
| Jun 30, 2024 | 1.42 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jun 30, 2023 | 853,633.00 |
| Mar 31, 2023 | 1.15 Mn |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.18 Mn |
| Jun 30, 2022 | 999,743.00 |
| Mar 31, 2022 | 1.17 Mn |
| Dec 31, 2021 | 1.22 Mn |
| Sep 30, 2021 | 913,833.00 |
iSpecimen Cost of Revenue 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=cost-of-revenue&ticker=ISPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();