iSpecimen (ISPC) Non-Current Assets (2020 - 2026)
iSpecimen's Non-Current Assets was $2.91 million in Q2 2026, down 40.3% from $4.87 million a year earlier and down 6.9% from the prior quarter.
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Analysis
iSpecimen (ISPC) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at iSpecimen came in at $2.58 million, down 55.3% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $5.76 million in FY2024 (-24.0%), $7.58 million in FY2023 (+53.4%), $4.94 million in FY2022 (+78.3%) and $2.77 million in FY2021 (+1.2%).
- Quarterly Non-Current Assets has moved between $2.58 million (Q4 2025) and $7.58 million (Q4 2023) over five years.
- Compared with a year earlier, Non-Current Assets has declined for eight straight quarters, with an average decline of 30.0% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2023 (growth of 102.0%); the worst was Q4 2025 (a decline of 55.3%).
- Per Business Quant data, ISPC's Non-Current Assets in the three quarters before Q2 2026 was $3.13 million (Q1 2026), $2.58 million (Q4 2025) and $5.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | 2.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.91 Mn |
| Mar 31, 2026 | 3.13 Mn |
| Dec 31, 2025 | 2.58 Mn |
| Sep 30, 2025 | 5.40 Mn |
| Jun 30, 2025 | 4.87 Mn |
| Mar 31, 2025 | 5.32 Mn |
| Dec 31, 2024 | 5.76 Mn |
| Sep 30, 2024 | 6.61 Mn |
| Jun 30, 2024 | 6.67 Mn |
| Mar 31, 2024 | 7.23 Mn |
| Dec 31, 2023 | 7.58 Mn |
| Sep 30, 2023 | 7.17 Mn |
| Jun 30, 2023 | 6.60 Mn |
| Mar 31, 2023 | 5.98 Mn |
| Dec 31, 2022 | 4.94 Mn |
| Sep 30, 2022 | 3.70 Mn |
| Jun 30, 2022 | 3.27 Mn |
| Mar 31, 2022 | 3.14 Mn |
| Dec 31, 2021 | 2.77 Mn |
| Sep 30, 2021 | 2.72 Mn |
API Access
iSpecimen Non-Current Assets 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=non-current-assets&ticker=ISPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();