Prokidney (PROK) Total Non-Current Liabilities (2021 - 2026)
Prokidney's Total Non-Current Liabilities was $1.13 billion in 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 Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Prokidney came in at $1.35 billion, down 6.2% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, though with a four-year compound annual growth rate of 216.7% (FY2021 to FY2025).
- In earlier years, Total Non-Current 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 marks the lowest quarterly Total Non-Current Liabilities since Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 12 straight quarters, with an average decline of 7.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Non-Current Liabilities ran from 5.2% in Q3 2023 to 29.2% in Q1 2024.
- Per Business Quant data, PROK's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.32 billion (Q1 2026), $1.35 billion (Q4 2025) and $1.36 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 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 |
| Dec 31, 2021 | 13.38 Mn |
API Access
Prokidney Total Non-Current 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-non-current-liabilities&ticker=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();