Dianthus Therapeutics (DNTH) Property, Plant & Equipment (Net) (2017 - 2025)
Dianthus Therapeutics' Property, Plant & Equipment (Net) came in at $296,000 for Q4 2025, up 52.6% from $194,000 a year earlier and up 60.0% from the prior quarter.
Dianthus Therapeutics (DNTH) Property, Plant & Equipment (Net) (2017 - 2025) Analysis & Trends
Going back to Q4 2017, Dianthus Therapeutics' Property, Plant & Equipment (Net) data covers 30 quarters.
- Property, Plant & Equipment (Net) has increased in each of the last three years, though with a five-year compound annual growth rate of -48.7% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $194,000 in FY2024 (+4.9%), $185,000 in FY2023 (+30.3%), $142,000 in FY2022 (-98.1%) and $7.46 million in FY2021 (-10.2%).
- The Q4 2025 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q3 2022.
- Year-over-year, Property, Plant & Equipment (Net) increased in three of the last six quarters, with growth averaging 10.0%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2025 (growth of 52.6%), and the weakest in Q4 2022 (a decline of 98.1%).
- Business Quant data shows DNTH's Property, Plant & Equipment (Net) at $185,000 (Q3 2025), $207,000 (Q2 2025) and $191,000 (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Dianthus Therapeutics | 3.78 Bn | 3.73 Bn | - | 296,000.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 296,000.00 |
| Sep 30, 2025 | 185,000.00 |
| Jun 30, 2025 | 207,000.00 |
| Mar 31, 2025 | 191,000.00 |
| Dec 31, 2024 | 194,000.00 |
| Sep 30, 2024 | 189,000.00 |
| Jun 30, 2024 | 189,000.00 |
| Mar 31, 2024 | 195,000.00 |
| Dec 31, 2023 | 185,000.00 |
| Sep 30, 2023 | 195,000.00 |
| Dec 31, 2022 | 142,000.00 |
| Sep 30, 2022 | 6.32 Mn |
| Jun 30, 2022 | 6.63 Mn |
| Mar 31, 2022 | 6.98 Mn |
| Dec 31, 2021 | 7.46 Mn |
| Sep 30, 2021 | 7.98 Mn |
| Jun 30, 2021 | 8.41 Mn |
| Mar 31, 2021 | 7.74 Mn |
| Dec 31, 2020 | 8.31 Mn |
| Sep 30, 2020 | 8.59 Mn |
Dianthus Therapeutics Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=DNTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-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=property-plant-and-equipment-net&ticker=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();