Rhythm Pharmaceuticals (RYTM) Accumulated Expenses (2016 - 2026)
Rhythm Pharmaceuticals (RYTM) posted Accumulated Expenses of $94.02 million for Q2 2026, up 35.9% from $69.19 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Rhythm Pharmaceuticals (RYTM) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Rhythm Pharmaceuticals' Accumulated Expenses came in at $83.86 million, up 33.8% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 46.2% (FY2020 to FY2025).
- In prior years, Rhythm Pharmaceuticals' Accumulated Expenses was $62.66 million in FY2024 (+29.8%), $48.26 million in FY2023 (+46.7%), $32.89 million in FY2022 (+9.3%) and $30.08 million in FY2021 (+139.5%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2016.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 21 quarters, with growth averaging 36.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 0.3% in Q2 2023 to 252.4% in Q1 2022.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $80.05 million (Q1 2026), $83.86 million (Q4 2025) and $84.46 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 | Rhythm Pharmaceuticals | 6.55 Bn | 5.42 Bn | 62.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.02 Mn |
| Mar 31, 2026 | 80.05 Mn |
| Dec 31, 2025 | 83.86 Mn |
| Sep 30, 2025 | 84.46 Mn |
| Jun 30, 2025 | 69.19 Mn |
| Mar 31, 2025 | 59.31 Mn |
| Dec 31, 2024 | 62.66 Mn |
| Sep 30, 2024 | 54.80 Mn |
| Jun 30, 2024 | 48.08 Mn |
| Mar 31, 2024 | 44.53 Mn |
| Dec 31, 2023 | 48.26 Mn |
| Sep 30, 2023 | 44.27 Mn |
| Jun 30, 2023 | 35.71 Mn |
| Mar 31, 2023 | 30.55 Mn |
| Dec 31, 2022 | 32.89 Mn |
| Sep 30, 2022 | 25.74 Mn |
| Jun 30, 2022 | 35.61 Mn |
| Mar 31, 2022 | 25.20 Mn |
| Dec 31, 2021 | 30.08 Mn |
| Sep 30, 2021 | 18.27 Mn |
API Access
Rhythm Pharmaceuticals 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=RYTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RYTM", "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=RYTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();