Ardelyx (ARDX) Operating Expenses (2013 - 2026)
Ardelyx (ARDX) reported Operating Expenses of $133.3 million for Q2 2026, up 19.0% from $112.06 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Ardelyx (ARDX) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ardelyx's Operating Expenses came in at $511.05 million, up 15.3% year-over-year; for FY2025, it was $448.3 million, up 24.0% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $361.57 million in FY2024 (+92.6%), $187.73 million in FY2023 (+67.9%), $111.8 million in FY2022 (-31.6%) and $163.44 million in FY2021 (+66.2%).
- Five-year quarterly Operating Expenses spans a low of $26.13 million in Q3 2022 and a high of $148.8 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 14 quarters, with growth averaging 45.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 160.0%); the low point was Q3 2022 (a decline of 39.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $127.27 million (Q1 2026), $148.8 million (Q4 2025) and $101.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Ardelyx | 849.59 Mn | -177.71 Mn | 115.12 Mn | 133.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.30 Mn |
| Mar 31, 2026 | 127.27 Mn |
| Dec 31, 2025 | 148.80 Mn |
| Sep 30, 2025 | 101.68 Mn |
| Jun 30, 2025 | 112.06 Mn |
| Mar 31, 2025 | 110.46 Mn |
| Dec 31, 2024 | 140.30 Mn |
| Sep 30, 2024 | 80.28 Mn |
| Jun 30, 2024 | 77.42 Mn |
| Mar 31, 2024 | 63.57 Mn |
| Dec 31, 2023 | 75.07 Mn |
| Sep 30, 2023 | 41.30 Mn |
| Jun 30, 2023 | 35.47 Mn |
| Mar 31, 2023 | 35.90 Mn |
| Dec 31, 2022 | 28.87 Mn |
| Sep 30, 2022 | 26.13 Mn |
| Jun 30, 2022 | 28.60 Mn |
| Mar 31, 2022 | 28.28 Mn |
| Dec 31, 2021 | 35.30 Mn |
| Sep 30, 2021 | 43.41 Mn |
API Access
Ardelyx Operating 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=operating-expenses&ticker=ARDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ARDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();