Dianthus Therapeutics (DNTH) Accumulated Expenses (2017 - 2025)
Dianthus Therapeutics' Accumulated Expenses came in at $19.45 million for Q4 2025, up 48.8% from $13.07 million a year earlier and up 21.7% from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Accumulated Expenses (2017 - 2025) Analysis & Trends
Going back to Q4 2017, Dianthus Therapeutics' Accumulated Expenses data covers 32 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $13.07 million in FY2024 (+101.0%), $6.5 million in FY2023 (-1.6%), $6.61 million in FY2022 (-15.5%) and $7.82 million in FY2021 (+2.0%).
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2017.
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 62.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2025 (growth of 139.0%), and the weakest in Q2 2023 (a decline of 44.3%).
- Business Quant data shows DNTH's Accumulated Expenses at $15.98 million (Q3 2025), $14 million (Q2 2025) and $7.98 million (Q1 2025) in the three quarters before Q4 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 | Dianthus Therapeutics | 3.77 Bn | 3.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 19.45 Mn |
| Sep 30, 2025 | 15.98 Mn |
| Jun 30, 2025 | 14.00 Mn |
| Mar 31, 2025 | 7.98 Mn |
| Dec 31, 2024 | 13.07 Mn |
| Sep 30, 2024 | 7.73 Mn |
| Jun 30, 2024 | 5.86 Mn |
| Mar 31, 2024 | 5.85 Mn |
| Dec 31, 2023 | 6.50 Mn |
| Sep 30, 2023 | 11.20 Mn |
| Jun 30, 2023 | 3.22 Mn |
| Mar 31, 2023 | 4.90 Mn |
| Dec 31, 2022 | 6.61 Mn |
| Sep 30, 2022 | 6.72 Mn |
| Jun 30, 2022 | 5.79 Mn |
| Mar 31, 2022 | 6.41 Mn |
| Dec 31, 2021 | 7.82 Mn |
| Sep 30, 2021 | 8.26 Mn |
| Jun 30, 2021 | 8.15 Mn |
| Mar 31, 2021 | 7.09 Mn |
API Access
Dianthus Therapeutics 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=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DNTH", "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=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();