iSpecimen (ISPC) Total Liabilities (2020 - 2026)
iSpecimen (ISPC) posted Total Liabilities of $5.66 million for Q2 2026, up 4.5% from $5.41 million a year earlier but down 2.4% from the prior quarter.
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Analysis
iSpecimen (ISPC) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, iSpecimen's Total Liabilities came in at $6.44 million, up 6.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -28.1% (FY2020 to FY2025).
- In prior years, iSpecimen's Total Liabilities was $6.04 million in FY2024 (-0.6%), $6.08 million in FY2023 (+41.1%), $4.31 million in FY2022 (-27.3%) and $5.93 million in FY2021 (-82.3%).
- Quarterly Total Liabilities has run from a low of $2.86 million in Q2 2023 to a high of $6.55 million in Q3 2024 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 9.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2024, with growth of 103.3%; the weakest was Q4 2021, with a decline of 82.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $5.8 million (Q1 2026), $6.44 million (Q4 2025) and $5.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | 5.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.66 Mn |
| Mar 31, 2026 | 5.80 Mn |
| Dec 31, 2025 | 6.44 Mn |
| Sep 30, 2025 | 5.92 Mn |
| Jun 30, 2025 | 5.41 Mn |
| Mar 31, 2025 | 5.17 Mn |
| Dec 31, 2024 | 6.04 Mn |
| Sep 30, 2024 | 6.55 Mn |
| Jun 30, 2024 | 5.81 Mn |
| Mar 31, 2024 | 5.70 Mn |
| Dec 31, 2023 | 6.08 Mn |
| Sep 30, 2023 | 3.59 Mn |
| Jun 30, 2023 | 2.86 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 4.31 Mn |
| Sep 30, 2022 | 5.52 Mn |
| Jun 30, 2022 | 5.10 Mn |
| Mar 31, 2022 | 5.62 Mn |
| Dec 31, 2021 | 5.93 Mn |
| Sep 30, 2021 | 5.53 Mn |
API Access
iSpecimen Total Liabilities 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=total-liabilities&ticker=ISPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();