Dianthus Therapeutics (DNTH) Accounts Payables (2017 - 2026)
Dianthus Therapeutics (DNTH) posted Accounts Payables of $9.73 million for Q4 2025, up 112.4% from $4.58 million a year earlier and up 45.0% from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Accounts Payables (2017 - 2026) Analysis & Trends
Since Q4 2017, Dianthus Therapeutics has reported Accounts Payables for 32 quarters.
- Annual Accounts Payables has increased for three consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior years, Dianthus Therapeutics' Accounts Payables was $4.58 million in FY2024 (+75.4%), $2.61 million in FY2023 (+123.7%), $1.17 million in FY2022 (-61.6%) and $3.04 million in FY2021 (-19.1%).
- The Q4 2025 figure stands as the highest quarterly Accounts Payables in data going back to Q4 2017.
- On a year-over-year basis, Accounts Payables increased in seven of the last eight quarters, with growth averaging 173.6%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q3 2024, with growth of 453.1%; the weakest was Q1 2023, with a decline of 75.7%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $6.71 million (Q3 2025), $5.4 million (Q2 2025) and $8.27 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 5.79 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 9.32 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 34.43 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 5.03 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -23.57 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.95 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 934.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 4.07 Bn |
| 10 | Dianthus Therapeutics | 5.00 Bn | 4.95 Bn | - | 5.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.50 Mn |
| Jun 30, 2026 | 6.39 Mn |
| Mar 31, 2026 | 5.27 Mn |
| Dec 31, 2025 | 9.73 Mn |
| Sep 30, 2025 | 6.71 Mn |
| Jun 30, 2025 | 5.40 Mn |
| Mar 31, 2025 | 8.27 Mn |
| Dec 31, 2024 | 4.58 Mn |
| Sep 30, 2024 | 7.57 Mn |
| Jun 30, 2024 | 3.70 Mn |
| Mar 31, 2024 | 2.61 Mn |
| Dec 31, 2023 | 2.61 Mn |
| Sep 30, 2023 | 1.37 Mn |
| Jun 30, 2023 | 813,000.00 |
| Mar 31, 2023 | 1.08 Mn |
| Dec 31, 2022 | 1.17 Mn |
| Sep 30, 2022 | 2.58 Mn |
| Jun 30, 2022 | 2.05 Mn |
| Mar 31, 2022 | 4.44 Mn |
| Dec 31, 2021 | 3.04 Mn |
API Access
Dianthus Therapeutics Accounts Payables 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=accounts-payables&ticker=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();