Ardelyx (ARDX) Total Current Liabilities (2013 - 2026)
Ardelyx's Total Current Liabilities was $132.22 million in Q2 2026, up 61.8% from $81.72 million a year earlier and up 20.7% from the prior quarter.
Ardelyx (ARDX) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Ardelyx came in at $88.61 million, up 13.8% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $77.83 million in FY2024 (+54.4%), $50.39 million in FY2023 (-23.2%), $65.6 million in FY2022 (+24.2%) and $52.82 million in FY2021 (+85.9%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2013.
- Compared with a year earlier, Total Current Liabilities has increased for nine straight quarters, with growth averaging 39.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2021 (growth of 315.9%); the worst was Q3 2022 (a decline of 24.5%).
- Per Business Quant data, ARDX's Total Current Liabilities in the three quarters before Q2 2026 was $109.57 million (Q1 2026), $88.61 million (Q4 2025) and $83.39 million (Q3 2025).
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 | Ardelyx | 849.59 Mn | -177.71 Mn | 115.12 Mn | 132.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.22 Mn |
| Mar 31, 2026 | 109.57 Mn |
| Dec 31, 2025 | 88.61 Mn |
| Sep 30, 2025 | 83.39 Mn |
| Jun 30, 2025 | 81.72 Mn |
| Mar 31, 2025 | 75.84 Mn |
| Dec 31, 2024 | 77.83 Mn |
| Sep 30, 2024 | 70.50 Mn |
| Jun 30, 2024 | 62.44 Mn |
| Mar 31, 2024 | 56.90 Mn |
| Dec 31, 2023 | 50.39 Mn |
| Sep 30, 2023 | 43.53 Mn |
| Jun 30, 2023 | 61.69 Mn |
| Mar 31, 2023 | 63.06 Mn |
| Dec 31, 2022 | 65.60 Mn |
| Sep 30, 2022 | 51.95 Mn |
| Jun 30, 2022 | 48.70 Mn |
| Mar 31, 2022 | 47.84 Mn |
| Dec 31, 2021 | 52.82 Mn |
| Sep 30, 2021 | 68.77 Mn |
Ardelyx 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=ARDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ARDX", "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=ARDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();