Mira Pharmaceuticals (MIRA) Net Long-Term Debt Issued (Repaid) (2022 - 2026)
Mira Pharmaceuticals (MIRA) recorded Net Long-Term Debt Issued (Repaid) of -$330,607 in the quarter ended Mar 31, 2026.
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Analysis
Mira Pharmaceuticals (MIRA) Net Long-Term Debt Issued (Repaid) (2022 - 2026) Analysis & Trends
On a TTM basis, Mira Pharmaceuticals' Net Long-Term Debt Issued (Repaid) came in at -$342,204 as of Mar 31, 2026; for the year ended Dec 31, 2023, it was $1.01 million.
- Across earlier years, Net Long-Term Debt Issued (Repaid) came in at -$160,000 in the year ended Dec 31, 2022.
- The figure for the quarter ended Mar 31, 2026 is the highest quarterly Net Long-Term Debt Issued (Repaid) since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (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 | -1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 9.98 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 | 4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Mira Pharmaceuticals | 26.05 Mn | -10.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -330,607.00 |
| Jun 30, 2024 | 10,312.00 |
| Mar 31, 2024 | -24,335.00 |
| Dec 31, 2023 | 38,403.00 |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 685,458.00 |
| Dec 31, 2022 | -50,000.00 |
API Access
Mira Pharmaceuticals Net Long-Term Debt Issued (Repaid) 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=MIRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "MIRA", "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=MIRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();