iSpecimen (ISPC) Property, Plant & Equipment (Net) (2020 - 2026)
iSpecimen's Property, Plant & Equipment (Net) was $21,011 in Q2 2026, down 64.9% from $59,789 a year earlier and down 9.2% from the prior quarter.
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Analysis
iSpecimen (ISPC) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at iSpecimen came in at $25,543, down 72.7% from FY2024.
- Property, Plant & Equipment (Net) has now declined for three consecutive years, with a five-year compound annual growth rate of -19.5% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $93,563 in FY2024 (-26.8%), $127,787 in FY2023 (-43.4%), $225,852 in FY2022 (+589.0%) and $32,781 in FY2021 (-56.6%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q3 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 11 straight quarters, with an average decline of 50.2% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2023 (growth of 661.7%); the worst was Q4 2025 (a decline of 72.7%).
- Per Business Quant data, ISPC's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $23,134 (Q1 2026), $25,543 (Q4 2025) and $42,666 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | iSpecimen | 1.64 Mn | -15.25 Mn | 68,650.00 | 21,011.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21,011.00 |
| Mar 31, 2026 | 23,134.00 |
| Dec 31, 2025 | 25,543.00 |
| Sep 30, 2025 | 42,666.00 |
| Jun 30, 2025 | 59,789.00 |
| Mar 31, 2025 | 76,460.00 |
| Dec 31, 2024 | 93,563.00 |
| Sep 30, 2024 | 102,803.00 |
| Jun 30, 2024 | 104,822.00 |
| Mar 31, 2024 | 120,873.00 |
| Dec 31, 2023 | 127,787.00 |
| Sep 30, 2023 | 146,205.00 |
| Jun 30, 2023 | 163,871.00 |
| Mar 31, 2023 | 195,293.00 |
| Dec 31, 2022 | 225,852.00 |
| Sep 30, 2022 | 19,194.00 |
| Jun 30, 2022 | 23,648.00 |
| Mar 31, 2022 | 28,069.00 |
| Dec 31, 2021 | 32,781.00 |
| Sep 30, 2021 | 44,749.00 |
API Access
iSpecimen Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ISPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ISPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();