iSpecimen (ISPC) Accumulated Expenses (2020 - 2026)
iSpecimen's Accumulated Expenses was $619,270 in Q2 2026, down 4.1% from $645,567 a year earlier and down 3.8% from the prior quarter.
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Analysis
iSpecimen (ISPC) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at iSpecimen came in at $619,242, down 47.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $1.17 million in FY2024 (-24.1%), $1.54 million in FY2023 (+0.6%), $1.53 million in FY2022 (+51.6%) and $1.01 million in FY2021 (+24.5%).
- Quarterly Accumulated Expenses has moved between $619,242 (Q4 2025) and $1.71 million (Q1 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for eight straight quarters, with an average decline of 28.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2024 (growth of 88.4%); the worst was Q2 2022 (a decline of 66.3%).
- Per Business Quant data, ISPC's Accumulated Expenses in the three quarters before Q2 2026 was $643,503 (Q1 2026), $619,242 (Q4 2025) and $716,878 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | iSpecimen | 1.80 Mn | -15.10 Mn | 68,650.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 619,270.00 |
| Mar 31, 2026 | 643,503.00 |
| Dec 31, 2025 | 619,242.00 |
| Sep 30, 2025 | 716,878.00 |
| Jun 30, 2025 | 645,567.00 |
| Mar 31, 2025 | 818,254.00 |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 1.02 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 1.71 Mn |
| Dec 31, 2023 | 1.54 Mn |
| Sep 30, 2023 | 1.03 Mn |
| Jun 30, 2023 | 882,274.00 |
| Mar 31, 2023 | 908,312.00 |
| Dec 31, 2022 | 1.53 Mn |
| Sep 30, 2022 | 885,563.00 |
| Jun 30, 2022 | 634,256.00 |
| Mar 31, 2022 | 1.04 Mn |
| Dec 31, 2021 | 1.01 Mn |
| Sep 30, 2021 | 1.03 Mn |
API Access
iSpecimen Accumulated Expenses 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=accumulated-expenses&ticker=ISPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();