Armata Pharmaceuticals (ARMP) Non-Current Debt (2023 - 2026)
Armata Pharmaceuticals (ARMP) posted Non-Current Debt of $42.02 million for Q2 2026, down 52.2% from the prior quarter.
Analysis
Armata Pharmaceuticals (ARMP) Non-Current Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, Armata Pharmaceuticals' Non-Current Debt came in at $103.06 million, up 357.3% from FY2024.
- In prior years, Armata Pharmaceuticals' Non-Current Debt was $22.54 million in FY2024 (-4.8%) and $23.67 million in FY2023.
- Quarterly Non-Current Debt has run from a low of $15.24 million in Q3 2025 to a high of $103.06 million in Q4 2025 over five years.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $87.98 million (Q1 2026), $103.06 million (Q4 2025) and $15.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | - |
| 10 | Armata Pharmaceuticals | 133.35 Mn | 81.07 Mn | - | 42.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.02 Mn |
| Mar 31, 2026 | 87.98 Mn |
| Dec 31, 2025 | 103.06 Mn |
| Sep 30, 2025 | 15.24 Mn |
| Dec 31, 2024 | 22.54 Mn |
| Mar 31, 2024 | 35.37 Mn |
| Dec 31, 2023 | 23.67 Mn |
| Sep 30, 2023 | 22.28 Mn |
API Access
Armata Pharmaceuticals Non-Current Debt 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-debt&ticker=ARMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();