iSpecimen (ISPC) Depreciation and Depletion (2020 - 2026)
iSpecimen's Depreciation and Depletion was $2,123 in Q2 2026, down 87.6% from $17,125 a year earlier and down 11.9% from the prior quarter.
iSpecimen (ISPC) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, iSpecimen's Depreciation and Depletion was $38,778 through Jun 30, 2026, down 42.8% year-over-year; for FY2025, it came in at $68,474, up 4.2% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $65,712 in FY2024 (-44.1%), $117,543 in FY2023 (+424.0%), $22,433 in FY2022 (-50.5%) and $45,358 in FY2021 (+1.3%).
- The Q2 2026 figure marks the lowest quarterly Depreciation and Depletion in data going back to Q2 2020.
- Compared with a year earlier, Depreciation and Depletion was higher in four of the last eight quarters, with an average decline of 24.1%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2023 (growth of 740.2%); the worst was Q2 2026 (a decline of 87.6%).
- Per Business Quant data, ISPC's Depreciation and Depletion in the three quarters before Q2 2026 was $2,409 (Q1 2026), $17,123 (Q4 2025) and $17,123 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | iSpecimen | 1.80 Mn | -15.10 Mn | 68,650.00 | 2,123.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,123.00 |
| Mar 31, 2026 | 2,409.00 |
| Dec 31, 2025 | 17,123.00 |
| Sep 30, 2025 | 17,123.00 |
| Jun 30, 2025 | 17,125.00 |
| Mar 31, 2025 | 17,103.00 |
| Dec 31, 2024 | 17,105.00 |
| Sep 30, 2024 | 16,506.00 |
| Jun 30, 2024 | 16,051.00 |
| Mar 31, 2024 | 16,050.00 |
| Dec 31, 2023 | 18,418.00 |
| Sep 30, 2023 | 23,399.00 |
| Jun 30, 2023 | 37,137.00 |
| Mar 31, 2023 | 38,589.00 |
| Dec 31, 2022 | 8,846.00 |
| Sep 30, 2022 | 4,454.00 |
| Jun 30, 2022 | 4,420.00 |
| Mar 31, 2022 | 4,712.00 |
| Dec 31, 2021 | 11,968.00 |
| Sep 30, 2021 | 11,130.00 |
iSpecimen Depreciation and Depletion 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=depreciation-and-depletion&ticker=ISPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();