iSpecimen (ISPC) Capital Expenditures (2020 - 2024)
iSpecimen's Capital Expenditures was $454.00 in FY2025, down 98.6% from $31,546 in FY2024.
Powered by 
Analysis
iSpecimen (ISPC) Capital Expenditures (2020 - 2024) Analysis & Trends
From FY2020 onward, iSpecimen has reported Capital Expenditures for 6 years.
- Capital Expenditures shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Capital Expenditures since FY2020.
- Per Business Quant data, Capital Expenditures in earlier years was $31,546 in FY2024 (+62.0%), $19,478 in FY2023 (-91.0%), $215,504 in FY2022 and $2,550 in FY2021 (+498.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 66.90 Mn |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 7,865.00 |
| Sep 30, 2024 | 14,545.00 |
| Mar 31, 2024 | 9,136.00 |
| Sep 30, 2023 | 5,733.00 |
| Jun 30, 2023 | 5,715.00 |
| Mar 31, 2023 | 8,030.00 |
| Dec 31, 2020 | -580.00 |
| Sep 30, 2020 | -1.00 |
API Access
iSpecimen Capital Expenditures 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=capital-expenditures&ticker=ISPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();