Dianthus Therapeutics (DNTH) Receivables - Net (2022 - 2025)
Dianthus Therapeutics (DNTH) recorded Receivables - Net of $52,000 in Q4 2025, down 93.5% from $800,000 a year earlier and down 99.0% from the prior quarter.
Dianthus Therapeutics (DNTH) Receivables - Net (2022 - 2025) Analysis & Trends
Starting with Q4 2022, Dianthus Therapeutics' Receivables - Net history includes 11 quarters.
- Annual Receivables - Net has a three-year compound annual growth rate of -77.7% (FY2022 to FY2025).
- Across earlier years, Receivables - Net came in at $800,000 in FY2024 (+33.3%), $600,000 in FY2023 (-87.2%) and $4.7 million in FY2022.
- Quarterly Receivables - Net has ranged from $39,000 in Q2 2025 to $5 million in Q3 2025 over the past five years.
- On a year-over-year basis, Receivables - Net rose in three of the last five quarters, with growth averaging 10.6%.
- Per Business Quant, the preceding three quarters came in at $5 million (Q3 2025), $39,000 (Q2 2025) and $1 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Dianthus Therapeutics | 3.76 Bn | 3.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 52,000.00 |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 39,000.00 |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 800,000.00 |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 840,000.00 |
| Mar 31, 2024 | 435,000.00 |
| Dec 31, 2023 | 600,000.00 |
| Sep 30, 2023 | 232,000.00 |
| Dec 31, 2022 | 4.70 Mn |
Dianthus Therapeutics Receivables - Net 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=receivables-net&ticker=DNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();