Ardelyx (ARDX) Accumulated Expenses (2013 - 2026)
Ardelyx (ARDX) reported Accumulated Expenses of $69.48 million for Q3 2026, up 65.7% from $41.93 million a year earlier but down 2.1% 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%).
- Five-year quarterly Accumulated Expenses spans a low of $6.78 million in Q1 2022 and a high of $70.96 million in Q2 2026.
- Year over year, Accumulated Expenses has now increased in each of the last 16 quarters, with growth averaging 67.2% 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 Q3 2026 came in at $70.96 million (Q2 2026), $67.23 million (Q1 2026) and $47.58 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Ardelyx | 755.60 Mn | -314.33 Mn | 123.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.48 Mn |
| 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 |
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();