Prokidney (PROK) Total Current Liabilities (2021 - 2026)
Prokidney (PROK) recorded Total Current Liabilities of $22.71 million in Q2 2026, down 19.6% from $28.26 million a year earlier and down 12.4% from the prior quarter.
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Analysis
Prokidney (PROK) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Prokidney reported Total Current Liabilities of $30.74 million, down 15.1% from FY2024.
- Annual Total Current Liabilities has a four-year compound annual growth rate of 25.7% (FY2021 to FY2025).
- Across earlier years, Total Current Liabilities came in at $36.22 million in FY2024 (+44.6%), $25.04 million in FY2023 (+130.3%), $10.87 million in FY2022 (-11.7%) and $12.31 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities since Q2 2024.
- On a year-over-year basis, Total Current Liabilities has declined for three consecutive quarters, with growth averaging 16.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 208.8% in Q2 2023, against a decline of 21.0% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $25.93 million (Q1 2026), $30.74 million (Q4 2025) and $29.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Prokidney | 823.10 Mn | 1.93 Bn | - | 22.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.71 Mn |
| Mar 31, 2026 | 25.93 Mn |
| Dec 31, 2025 | 30.74 Mn |
| Sep 30, 2025 | 29.06 Mn |
| Jun 30, 2025 | 28.26 Mn |
| Mar 31, 2025 | 32.81 Mn |
| Dec 31, 2024 | 36.22 Mn |
| Sep 30, 2024 | 25.18 Mn |
| Jun 30, 2024 | 20.59 Mn |
| Mar 31, 2024 | 19.30 Mn |
| Dec 31, 2023 | 25.04 Mn |
| Sep 30, 2023 | 20.99 Mn |
| Jun 30, 2023 | 24.50 Mn |
| Mar 31, 2023 | 11.28 Mn |
| Dec 31, 2022 | 10.87 Mn |
| Sep 30, 2022 | 9.84 Mn |
| Jun 30, 2022 | 7.93 Mn |
| Mar 31, 2022 | 5.41 Mn |
| Dec 31, 2021 | 12.31 Mn |
| Sep 30, 2021 | 55,138.00 |
API Access
Prokidney Total 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-current-liabilities&ticker=PROK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PROK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();