Ardelyx (ARDX) Total Non-Current Liabilities (2014 - 2026)
Ardelyx's Total Non-Current Liabilities was $400.56 million in Q2 2026, up 33.8% from $299.48 million a year earlier and up 21.4% from the prior quarter.
Ardelyx (ARDX) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Ardelyx came in at $308.78 million, up 30.3% from FY2024.
- Total Non-Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 94.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $236.94 million in FY2024 (+114.3%), $110.58 million in FY2023 (+37.4%), $80.48 million in FY2022 (+19.6%) and $67.3 million in FY2021 (+508.6%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 13 straight quarters, with growth averaging 64.2% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 8.5% (Q2 2023) and 508.6% (Q4 2021) over the last five years.
- Per Business Quant data, ARDX's Total Non-Current Liabilities in the three quarters before Q2 2026 was $330.02 million (Q1 2026), $308.78 million (Q4 2025) and $303.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Ardelyx | 844.61 Mn | -182.69 Mn | 115.12 Mn | 400.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400.56 Mn |
| Mar 31, 2026 | 330.02 Mn |
| Dec 31, 2025 | 308.78 Mn |
| Sep 30, 2025 | 303.26 Mn |
| Jun 30, 2025 | 299.48 Mn |
| Mar 31, 2025 | 238.00 Mn |
| Dec 31, 2024 | 236.94 Mn |
| Sep 30, 2024 | 185.19 Mn |
| Jun 30, 2024 | 173.39 Mn |
| Mar 31, 2024 | 169.61 Mn |
| Dec 31, 2023 | 110.58 Mn |
| Sep 30, 2023 | 84.11 Mn |
| Jun 30, 2023 | 74.85 Mn |
| Mar 31, 2023 | 79.38 Mn |
| Dec 31, 2022 | 80.48 Mn |
| Sep 30, 2022 | 67.39 Mn |
| Jun 30, 2022 | 68.98 Mn |
| Dec 31, 2021 | 67.30 Mn |
| Dec 31, 2020 | 11.06 Mn |
| Dec 31, 2018 | 582,000.00 |
Ardelyx 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=ARDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=ARDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();