Armata Pharmaceuticals (ARMP) Convertible Debt (2023 - 2026)
Armata Pharmaceuticals' Convertible Debt came in at $30 million for Q2 2026, unchanged from $30 million a year earlier and down 88.2% from the prior quarter.
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Analysis
Armata Pharmaceuticals (ARMP) Convertible Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, Armata Pharmaceuticals' Convertible Debt was $153.86 million, up 367.7% from FY2024.
- Going back by year, Convertible Debt was $32.9 million in FY2024 (-43.9%) and $58.63 million in FY2023.
- The five-year range for quarterly Convertible Debt is $30 million (Q3 2024) to $254.92 million (Q1 2026).
- Year-over-year, Convertible Debt increased in 1 of the last five quarters, with growth averaging 56.8%.
- Business Quant data shows ARMP's Convertible Debt at $254.92 million (Q1 2026), $153.86 million (Q4 2025) and $30 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Armata Pharmaceuticals | 137.07 Mn | 84.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.00 Mn |
| Mar 31, 2026 | 254.92 Mn |
| Dec 31, 2025 | 153.86 Mn |
| Sep 30, 2025 | 30.00 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Dec 31, 2024 | 32.90 Mn |
| Sep 30, 2024 | 30.00 Mn |
| Dec 31, 2023 | 58.63 Mn |
| Sep 30, 2023 | 49.75 Mn |
API Access
Armata Pharmaceuticals Convertible 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=convertible-debt&ticker=ARMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "convertible-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=convertible-debt&ticker=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();