Prokidney (PROK) Property, Plant & Equipment (Net) (2021 - 2026)
Prokidney's Property, Plant & Equipment (Net) came in at $56.04 million for Q2 2026, up 28.7% from $43.53 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Prokidney (PROK) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, Prokidney's Property, Plant & Equipment (Net) was $51.23 million, up 21.3% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last three years, with a four-year compound annual growth rate of 45.7% (FY2021 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $42.22 million in FY2024 (+0.2%), $42.14 million in FY2023 (+293.6%), $10.71 million in FY2022 (-5.7%) and $11.36 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2021.
- Year-over-year, Property, Plant & Equipment (Net) has increased for seven consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2023 (growth of 298.4%), and the weakest in Q3 2024 (a decline of 9.6%).
- Business Quant data shows PROK's Property, Plant & Equipment (Net) at $54.44 million (Q1 2026), $51.23 million (Q4 2025) and $47.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Prokidney | 879.33 Mn | 1.99 Bn | - | 56.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.04 Mn |
| Mar 31, 2026 | 54.44 Mn |
| Dec 31, 2025 | 51.23 Mn |
| Sep 30, 2025 | 47.75 Mn |
| Jun 30, 2025 | 43.53 Mn |
| Mar 31, 2025 | 43.33 Mn |
| Dec 31, 2024 | 42.22 Mn |
| Sep 30, 2024 | 38.52 Mn |
| Jun 30, 2024 | 42.57 Mn |
| Mar 31, 2024 | 41.94 Mn |
| Dec 31, 2023 | 42.14 Mn |
| Sep 30, 2023 | 42.61 Mn |
| Jun 30, 2023 | 14.80 Mn |
| Mar 31, 2023 | 11.81 Mn |
| Dec 31, 2022 | 10.71 Mn |
| Sep 30, 2022 | 10.70 Mn |
| Dec 31, 2021 | 11.36 Mn |
API Access
Prokidney 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=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PROK", "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=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();