Ardelyx (ARDX) Total Liabilities (2013 - 2026)
Ardelyx (ARDX) recorded Total Liabilities of $426.88 million in Q2 2026, up 30.4% from $327.24 million a year earlier and up 19.9% from the prior quarter.
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Analysis
Ardelyx (ARDX) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Ardelyx reported Total Liabilities of $334.66 million, up 27.5% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 34.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $262.47 million in FY2024 (+100.7%), $130.76 million in FY2023 (+42.5%), $91.74 million in FY2022 (+36.3%) and $67.3 million in FY2021 (-10.8%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2013.
- On a year-over-year basis, Total Liabilities has increased for 15 consecutive quarters, with growth averaging 58.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 123.2% in Q2 2024, against a decline of 17.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $355.89 million (Q1 2026), $334.66 million (Q4 2025) and $331.89 million (Q3 2025).
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 | Ardelyx | 849.59 Mn | -177.71 Mn | 115.12 Mn | 426.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 426.88 Mn |
| Mar 31, 2026 | 355.89 Mn |
| Dec 31, 2025 | 334.66 Mn |
| Sep 30, 2025 | 331.89 Mn |
| Jun 30, 2025 | 327.24 Mn |
| Mar 31, 2025 | 264.52 Mn |
| Dec 31, 2024 | 262.47 Mn |
| Sep 30, 2024 | 209.57 Mn |
| Jun 30, 2024 | 196.50 Mn |
| Mar 31, 2024 | 191.49 Mn |
| Dec 31, 2023 | 130.76 Mn |
| Sep 30, 2023 | 98.22 Mn |
| Jun 30, 2023 | 88.04 Mn |
| Mar 31, 2023 | 91.60 Mn |
| Dec 31, 2022 | 91.74 Mn |
| Sep 30, 2022 | 77.81 Mn |
| Jun 30, 2022 | 78.57 Mn |
| Mar 31, 2022 | 65.22 Mn |
| Dec 31, 2021 | 67.30 Mn |
| Sep 30, 2021 | 89.42 Mn |
API Access
Ardelyx 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=ARDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ARDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();