Ardelyx (ARDX) Accumulated Expenses (2013 - 2026)
Ardelyx (ARDX) reported Accumulated Expenses of $70.96 million for Q2 2026, up 74.1% from $40.76 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Ardelyx (ARDX) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Ardelyx posted Accumulated Expenses of $47.58 million, up 37.3% from FY2024.
- Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 48.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $34.64 million in FY2024 (+130.3%), $15.04 million in FY2023 (+21.5%), $12.38 million in FY2022 (+68.1%) and $7.37 million in FY2021 (+10.7%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2013.
- Year over year, Accumulated Expenses has now increased in each of the last 15 quarters, with growth averaging 68.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2023 (growth of 159.5%); the low point was Q1 2022 (a decline of 39.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $67.23 million (Q1 2026), $47.58 million (Q4 2025) and $41.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Ardelyx | 852.08 Mn | -175.22 Mn | 115.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.96 Mn |
| Mar 31, 2026 | 67.23 Mn |
| Dec 31, 2025 | 47.58 Mn |
| Sep 30, 2025 | 41.93 Mn |
| Jun 30, 2025 | 40.76 Mn |
| Mar 31, 2025 | 42.74 Mn |
| Dec 31, 2024 | 34.64 Mn |
| Sep 30, 2024 | 33.30 Mn |
| Jun 30, 2024 | 26.72 Mn |
| Mar 31, 2024 | 21.99 Mn |
| Dec 31, 2023 | 15.04 Mn |
| Sep 30, 2023 | 19.04 Mn |
| Jun 30, 2023 | 12.40 Mn |
| Mar 31, 2023 | 11.05 Mn |
| Dec 31, 2022 | 12.38 Mn |
| Sep 30, 2022 | 7.34 Mn |
| Jun 30, 2022 | 7.94 Mn |
| Mar 31, 2022 | 6.78 Mn |
| Dec 31, 2021 | 7.37 Mn |
| Sep 30, 2021 | 11.37 Mn |
API Access
Ardelyx Accumulated Expenses 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=accumulated-expenses&ticker=ARDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ARDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();