iSpecimen (ISPC) Non Operating Interest Expenses (2020 - 2025)
iSpecimen's Non Operating Interest Expenses came in at $1.00 for Q4 2025, down 100.0% from $157,468 a year earlier and down 50.0% from the prior quarter.
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Analysis
iSpecimen (ISPC) Non Operating Interest Expenses (2020 - 2025) Analysis & Trends
For FY2025, iSpecimen's Non Operating Interest Expenses was $1,949, down 98.9% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -75.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $173,771 in FY2024 (+986.0%), $16,001 in FY2023 (-93.3%), $238,963 in FY2022 (-88.6%) and $2.1 million in FY2021 (+0.3%).
- The Q4 2025 figure represents the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2020.
- Year-over-year, Non Operating Interest Expenses increased in three of the last six quarters, with an average decline of 23.1%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2022 (growth of 149.3%), and the weakest in Q4 2025 (a decline of 100.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | - |
| 10 | iSpecimen | 1.84 Mn | -15.05 Mn | 68,650.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.00 |
| Sep 30, 2025 | 2.00 |
| Mar 31, 2025 | 1,946.00 |
| Dec 31, 2024 | 157,468.00 |
| Sep 30, 2024 | 7,364.00 |
| Jun 30, 2024 | 4,474.00 |
| Mar 31, 2024 | 4,465.00 |
| Dec 31, 2023 | 4,466.00 |
| Sep 30, 2023 | 4,465.00 |
| Jun 30, 2023 | 3,535.00 |
| Mar 31, 2023 | 3,535.00 |
| Dec 31, 2022 | 100,051.00 |
| Sep 30, 2022 | 58,591.00 |
| Jun 30, 2022 | 42,273.00 |
| Mar 31, 2022 | 38,048.00 |
| Dec 31, 2021 | 40,133.00 |
| Sep 30, 2021 | 75,922.00 |
| Jun 30, 2021 | 1.13 Mn |
| Mar 31, 2021 | 853,147.00 |
| Dec 31, 2020 | 579,098.00 |
API Access
iSpecimen Non Operating Interest 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=non-operating-interest-expenses&ticker=ISPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();