Armata Pharmaceuticals (ARMP) Non-Current Assets (2009 - 2026)
Armata Pharmaceuticals' Non-Current Assets was $62.79 million in Q2 2026, down 14.3% from $73.27 million a year earlier and down 1.7% from the prior quarter.
Powered by 
Analysis
Armata Pharmaceuticals (ARMP) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Armata Pharmaceuticals came in at $66.21 million, down 11.9% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $75.13 million in FY2024 (-5.2%), $79.21 million in FY2023 (+15.2%), $68.79 million in FY2022 (+25.6%) and $54.77 million in FY2021 (+91.0%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q3 2022.
- Compared with a year earlier, Non-Current Assets has declined for eight straight quarters, with an average decline of 7.6% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q3 2022 (growth of 109.3%); the worst was Q2 2026 (a decline of 14.3%).
- Per Business Quant data, ARMP's Non-Current Assets in the three quarters before Q2 2026 was $63.85 million (Q1 2026), $66.21 million (Q4 2025) and $72.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 88.47 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Armata Pharmaceuticals | 137.07 Mn | 84.78 Mn | - | 62.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.79 Mn |
| Mar 31, 2026 | 63.85 Mn |
| Dec 31, 2025 | 66.21 Mn |
| Sep 30, 2025 | 72.59 Mn |
| Jun 30, 2025 | 73.27 Mn |
| Mar 31, 2025 | 74.08 Mn |
| Dec 31, 2024 | 75.13 Mn |
| Sep 30, 2024 | 75.85 Mn |
| Jun 30, 2024 | 77.41 Mn |
| Mar 31, 2024 | 78.64 Mn |
| Dec 31, 2023 | 79.21 Mn |
| Sep 30, 2023 | 76.18 Mn |
| Jun 30, 2023 | 74.38 Mn |
| Mar 31, 2023 | 70.18 Mn |
| Dec 31, 2022 | 68.79 Mn |
| Sep 30, 2022 | 59.64 Mn |
| Jun 30, 2022 | 59.68 Mn |
| Mar 31, 2022 | 59.07 Mn |
| Dec 31, 2021 | 54.77 Mn |
| Sep 30, 2021 | 28.49 Mn |
API Access
Armata Pharmaceuticals 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=ARMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "ARMP", "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=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();