Mustang Bio (MBIO) Non-Current Debt (2016 - 2023)
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) Non-Current Debt (2016 - 2023) 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) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Mustang Bio | 3.10 Mn | 3.10 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 27.58 Mn |
| Dec 31, 2022 | 27.44 Mn |
| Sep 30, 2022 | 27.29 Mn |
| Jun 30, 2022 | 27.15 Mn |
| Mar 31, 2022 | 26.99 Mn |
| Jun 30, 2020 | 8.96 Mn |
| Mar 31, 2020 | 10.56 Mn |
| Dec 31, 2019 | 12.18 Mn |
| Sep 30, 2016 | 2.93 Mn |
API Access
Mustang Bio 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=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();