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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Armata Pharmaceuticals | 133.35 Mn | 81.07 Mn | - |
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 |
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_KEY
import 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();