Dianthus Therapeutics (DNTH) Cash & Equivalents (2017 - 2026)
Dianthus Therapeutics' Cash & Equivalents came in at $51.09 million for Q4 2025, up 124.1% from $22.79 million a year earlier but down 8.7% from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Cash & Equivalents (2017 - 2026) Analysis & Trends
Going back to Q2 2017, Dianthus Therapeutics' Cash & Equivalents data covers 34 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $22.79 million in FY2024 (-82.8%), $132.33 million in FY2023 (+761.2%), $15.37 million in FY2022 (-88.3%) and $131.65 million in FY2021 (+126.4%).
- The five-year range for quarterly Cash & Equivalents is $10.12 million (Q1 2025) to $329.72 million (Q1 2024).
- Year-over-year, Cash & Equivalents increased in three of the last seven quarters, with growth averaging 73.8%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2023 (growth of 761.2%), and the weakest in Q1 2025 (a decline of 96.9%).
- Business Quant data shows DNTH's Cash & Equivalents at $55.98 million (Q3 2025), $13.24 million (Q2 2025) and $10.12 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Dianthus Therapeutics | 5.00 Bn | 4.95 Bn | - | 55.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.69 Mn |
| Jun 30, 2026 | 110.55 Mn |
| Mar 31, 2026 | 627.67 Mn |
| Dec 31, 2025 | 51.09 Mn |
| Sep 30, 2025 | 55.98 Mn |
| Jun 30, 2025 | 13.24 Mn |
| Mar 31, 2025 | 10.12 Mn |
| Dec 31, 2024 | 22.79 Mn |
| Sep 30, 2024 | 33.67 Mn |
| Jun 30, 2024 | 314.17 Mn |
| Mar 31, 2024 | 329.72 Mn |
| Dec 31, 2023 | 132.33 Mn |
| Sep 30, 2023 | 157.28 Mn |
| Jun 30, 2023 | 40.28 Mn |
| Mar 31, 2023 | 23.21 Mn |
| Dec 31, 2022 | 15.37 Mn |
| Sep 30, 2022 | 36.88 Mn |
| Jun 30, 2022 | 54.83 Mn |
| Mar 31, 2022 | 71.77 Mn |
| Dec 31, 2021 | 131.65 Mn |
API Access
Dianthus Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();