Ironwood Pharmaceuticals (IRWD) Long-Term Debt Issuances (2009 - 2017)
Ironwood Pharmaceuticals (IRWD) reported Long-Term Debt Issuances of $150 million for FY2024, down 62.5% from $400 million in FY2023.
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Analysis
Ironwood Pharmaceuticals (IRWD) Long-Term Debt Issuances (2009 - 2017) Analysis & Trends
Dating back to FY2009, Ironwood Pharmaceuticals' Long-Term Debt Issuances record includes 7 years.
- Long-Term Debt Issuances has a five-year compound annual growth rate of -17.8% (FY2019 to FY2024).
- The FY2024 figure ranks as the lowest annual Long-Term Debt Issuances since FY2017.
- According to Business Quant data, Long-Term Debt Issuances came in at $400 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (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 | 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 | - |
| 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 | Ironwood Pharmaceuticals | 796.30 Mn | 194.87 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 146.25 Mn |
| Mar 31, 2013 | 175.00 Mn |
| Sep 30, 2009 | -1.52 Mn |
| Jun 30, 2009 | 175,000.00 |
| Mar 31, 2009 | 2.42 Mn |
API Access
Ironwood Pharmaceuticals Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=IRWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "IRWD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=IRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();