Dianthus Therapeutics (DNTH) Change in Accured Expenses (2017 - 2025)
Dianthus Therapeutics' Change in Accured Expenses came in at $3 million for Q3 2025, down 46.8% from $5.65 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Change in Accured Expenses (2017 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Dianthus Therapeutics reported Change in Accured Expenses of $6.87 million, down 8.5% year-over-year; for FY2024, it came in at $8.19 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of 10.0% (FY2019 to FY2024).
- Going back by year, Change in Accured Expenses was $661,000 in FY2023 (-32.1%), $973,000 in FY2022 (+535.9%), $153,000 in FY2021 and -$3.63 million in FY2020.
- The five-year range for quarterly Change in Accured Expenses is -$4.73 million (Q1 2023) to $5.65 million (Q3 2024).
- Year-over-year, Change in Accured Expenses increased in four of the last six quarters, with growth averaging 105.8%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2024 (growth of 631.0%), and the weakest in Q4 2020 (a decline of 93.1%).
- Business Quant data shows DNTH's Change in Accured Expenses at $3.09 million (Q2 2025), -$1.5 million (Q1 2025) and $2.28 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Dianthus Therapeutics | 3.78 Bn | 3.73 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 3.09 Mn |
| Mar 31, 2025 | -1.50 Mn |
| Dec 31, 2024 | 2.28 Mn |
| Sep 30, 2024 | 5.65 Mn |
| Jun 30, 2024 | 3.25 Mn |
| Mar 31, 2024 | -2.99 Mn |
| Dec 31, 2023 | 1.60 Mn |
| Sep 30, 2023 | 773,000.00 |
| Jun 30, 2023 | 3.01 Mn |
| Mar 31, 2023 | -4.73 Mn |
| Dec 31, 2022 | 1.52 Mn |
| Sep 30, 2022 | 936,000.00 |
| Jun 30, 2022 | -623,000.00 |
| Mar 31, 2022 | -859,000.00 |
| Dec 31, 2021 | -438,000.00 |
| Sep 30, 2021 | 189,000.00 |
| Jun 30, 2021 | 980,000.00 |
| Mar 31, 2021 | -578,000.00 |
| Dec 31, 2020 | 255,000.00 |
API Access
Dianthus Therapeutics Change in Accured 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=change-in-accured-expenses&ticker=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();