Prokidney (PROK) Total Liabilities (2021 - 2026)
Prokidney's Total Liabilities came in at $1.13 billion for Q2 2026, down 17.6% from $1.37 billion a year earlier and down 14.0% from the prior quarter.
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Analysis
Prokidney (PROK) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Prokidney's Total Liabilities was $1.35 billion, down 6.2% from FY2024.
- Total Liabilities has declined in each of the last three years, though with a four-year compound annual growth rate of 216.7% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $1.44 billion in FY2024 (-5.8%), $1.52 billion in FY2023 (-5.6%), $1.61 billion in FY2022 and $13.38 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2022.
- Year-over-year, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 7.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2023 (growth of 809.3%), and the weakest in Q1 2024 (a decline of 29.2%).
- Business Quant data shows PROK's Total Liabilities at $1.32 billion (Q1 2026), $1.35 billion (Q4 2025) and $1.36 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Prokidney | 823.10 Mn | 1.93 Bn | - | 1.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.32 Bn |
| Dec 31, 2025 | 1.35 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.37 Bn |
| Mar 31, 2025 | 1.40 Bn |
| Dec 31, 2024 | 1.44 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 1.47 Bn |
| Mar 31, 2024 | 1.48 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Sep 30, 2023 | 1.54 Bn |
| Jun 30, 2023 | 1.81 Bn |
| Mar 31, 2023 | 2.10 Bn |
| Dec 31, 2022 | 1.61 Bn |
| Sep 30, 2022 | 1.63 Bn |
| Jun 30, 2022 | 244.47 Mn |
| Mar 31, 2022 | 230.59 Mn |
| Dec 31, 2021 | 13.38 Mn |
| Sep 30, 2021 | 241.03 Mn |
API Access
Prokidney Total Liabilities 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=total-liabilities&ticker=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();