Damora Therapeutics (DMRA) Non-Current Assets (2019 - 2026)
Damora Therapeutics (DMRA) recorded Non-Current Assets of $36,000 in Q2 2026, down 94.6% from $664,000 a year earlier but up 5.9% from the prior quarter.
Damora Therapeutics (DMRA) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Damora Therapeutics reported Non-Current Assets of $104,000, down 64.5% from FY2024.
- Annual Non-Current Assets has declined for four straight years, with a five-year compound annual growth rate of -46.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $293,000 in FY2024 (-79.5%), $1.43 million in FY2023 (-84.6%), $9.28 million in FY2022 (-23.4%) and $12.11 million in FY2021 (+427.6%).
- Quarterly Non-Current Assets has ranged from $34,000 in Q1 2026 to $28.87 million in Q3 2021 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for 18 consecutive quarters, with an average decline of 69.9% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 427.6% in Q4 2021, against a decline of 94.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $34,000 (Q1 2026), $104,000 (Q4 2025) and $936,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Damora Therapeutics | 1.32 Bn | -22.41 Mn | - | 36,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36,000.00 |
| Mar 31, 2026 | 34,000.00 |
| Dec 31, 2025 | 104,000.00 |
| Sep 30, 2025 | 936,000.00 |
| Jun 30, 2025 | 664,000.00 |
| Mar 31, 2025 | 442,000.00 |
| Dec 31, 2024 | 293,000.00 |
| Sep 30, 2024 | 2.18 Mn |
| Jun 30, 2024 | 2.10 Mn |
| Mar 31, 2024 | 1.94 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 2.95 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 7.50 Mn |
| Dec 31, 2022 | 9.28 Mn |
| Sep 30, 2022 | 10.83 Mn |
| Jun 30, 2022 | 10.66 Mn |
| Mar 31, 2022 | 11.90 Mn |
| Dec 31, 2021 | 12.11 Mn |
| Sep 30, 2021 | 28.87 Mn |
Damora Therapeutics Non-Current Assets 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=non-current-assets&ticker=DMRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "DMRA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=DMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();