Mustang Bio (MBIO) Net Long-Term Debt Issued (Repaid) (2015 - 2022)
Mustang Bio's Non-Current Debt was $27.58 million in Q1 2023, up 2.2% from $26.99 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Mustang Bio (MBIO) Net Long-Term Debt Issued (Repaid) (2015 - 2022) Analysis & Trends
At the end of FY2022, Non-Current Debt at Mustang Bio came in at $27.44 million.
- Non-Current Debt shows a three-year compound annual growth rate of 31.1% (FY2019 to FY2022).
- In earlier years, Non-Current Debt was $12.18 million in FY2019.
- The Q1 2023 figure marks the highest quarterly Non-Current Debt in data going back to Q3 2016.
- Per Business Quant data, MBIO's Non-Current Debt in the three quarters before Q1 2023 was $27.44 million (Q4 2022), $27.29 million (Q3 2022) and $27.15 million (Q2 2022).
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 | Mustang Bio | 3.03 Mn | -60.03 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 30.00 Mn |
| Jun 30, 2019 | 1.39 Mn |
| Mar 31, 2019 | 13.61 Mn |
| Jun 30, 2017 | 118,000.00 |
| Mar 31, 2017 | 28,000.00 |
| Dec 31, 2016 | -5.41 Mn |
| Sep 30, 2016 | 729,000.00 |
| Dec 31, 2015 | 529,000.00 |
API Access
Mustang Bio 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=MBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "MBIO", "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=MBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();