iSpecimen (ISPC) Operating Expenses (2020 - 2026)
iSpecimen's Operating Expenses came in at $1.51 million for Q2 2026, down 40.2% from $2.53 million a year earlier and down 43.8% from the prior quarter.
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Analysis
iSpecimen (ISPC) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, iSpecimen reported Operating Expenses of $9.89 million, down 41.6% year-over-year; for FY2025, it came in at $10.91 million, down 50.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $22.02 million in FY2024 (+4.4%), $21.1 million in FY2023 (+2.5%), $20.59 million in FY2022 (+20.7%) and $17.06 million in FY2021 (+61.1%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses in data going back to Q2 2020.
- Year-over-year, Operating Expenses has declined for six consecutive quarters, with an average decline of 26.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 40.5%), and the weakest in Q4 2025 (a decline of 62.6%).
- Business Quant data shows ISPC's Operating Expenses at $2.69 million (Q1 2026), $2.74 million (Q4 2025) and $2.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | 1.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 Mn |
| Mar 31, 2026 | 2.69 Mn |
| Dec 31, 2025 | 2.74 Mn |
| Sep 30, 2025 | 2.94 Mn |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Dec 31, 2024 | 7.32 Mn |
| Sep 30, 2024 | 4.37 Mn |
| Jun 30, 2024 | 5.05 Mn |
| Mar 31, 2024 | 5.29 Mn |
| Dec 31, 2023 | 5.45 Mn |
| Sep 30, 2023 | 4.97 Mn |
| Jun 30, 2023 | 5.19 Mn |
| Mar 31, 2023 | 5.49 Mn |
| Dec 31, 2022 | 5.10 Mn |
| Sep 30, 2022 | 5.68 Mn |
| Jun 30, 2022 | 4.92 Mn |
| Mar 31, 2022 | 4.88 Mn |
| Dec 31, 2021 | 4.54 Mn |
| Sep 30, 2021 | 4.18 Mn |
API Access
iSpecimen Operating 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=operating-expenses&ticker=ISPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();