Precipio (PRPO) Property, Plant & Equipment (Net) (2010 - 2026)
Precipio's Property, Plant & Equipment (Net) came in at $1.13 million for Q3 2026, up 46.4% from $771,000 a year earlier and up 4.8% from the prior quarter.
Precipio (PRPO) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Precipio's Property, Plant & Equipment (Net) was $729,000, up 1.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $719,000 in FY2024 (-2.7%), $739,000 in FY2023 (-15.7%), $877,000 in FY2022 (+4.9%) and $836,000 in FY2021 (+201.8%).
- The Q3 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q2 2015.
- Year-over-year, Property, Plant & Equipment (Net) increased in six of the last eight quarters, with growth averaging 13.8%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2021 (growth of 201.8%), and the weakest in Q1 2024 (a decline of 19.4%).
- Business Quant data shows PRPO's Property, Plant & Equipment (Net) at $1.08 million (Q2 2026), $735,000 (Q1 2026) and $729,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 105.29 Bn | 103.13 Bn | 17.03 Bn | 32.27 Bn |
| 2 | Natera | 46.06 Bn | 41.68 Bn | 513.47 Mn | 353.95 Mn |
| 3 | Labcorp Holdings | 30.09 Bn | 28.19 Bn | 1.11 Bn | 3.14 Bn |
| 4 | Quest Diagnostics | 28.58 Bn | 26.66 Bn | 1.04 Bn | 2.28 Bn |
| 5 | Guardant Health | 20.44 Bn | 16.05 Bn | 236.15 Mn | 151.47 Mn |
| 6 | BrightSpring Health Services | 14.16 Bn | 11.04 Bn | 518.55 Mn | 213.53 Mn |
| 7 | Encompass Health | 13.83 Bn | 14.29 Bn | 1.54 Bn | 4.48 Bn |
| 8 | Tempus AI | 12.69 Bn | 9.84 Bn | 266.70 Mn | 95.19 Mn |
| 9 | Davita | 11.06 Bn | 9.92 Bn | 1.13 Bn | 2.73 Bn |
| 10 | Precipio | 39.68 Mn | 27.77 Mn | 3.38 Mn | 1.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.13 Mn |
| Jun 30, 2026 | 1.08 Mn |
| Mar 31, 2026 | 735,000.00 |
| Dec 31, 2025 | 729,000.00 |
| Sep 30, 2025 | 771,000.00 |
| Jun 30, 2025 | 756,000.00 |
| Mar 31, 2025 | 771,000.00 |
| Dec 31, 2024 | 719,000.00 |
| Sep 30, 2024 | 753,000.00 |
| Jun 30, 2024 | 683,000.00 |
| Mar 31, 2024 | 672,000.00 |
| Dec 31, 2023 | 739,000.00 |
| Sep 30, 2023 | 738,000.00 |
| Jun 30, 2023 | 791,000.00 |
| Mar 31, 2023 | 834,000.00 |
| Dec 31, 2022 | 877,000.00 |
| Sep 30, 2022 | 885,000.00 |
| Jun 30, 2022 | 813,000.00 |
| Mar 31, 2022 | 788,000.00 |
| Dec 31, 2021 | 836,000.00 |
Precipio 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=PRPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PRPO", "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=PRPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();