Ironwood Pharmaceuticals (IRWD) Other Operating Expenses (2012 - 2023)
Ironwood Pharmaceuticals (IRWD) recorded Other Operating Expenses of $5 million in Q4 2023.
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Analysis
Ironwood Pharmaceuticals (IRWD) Other Operating Expenses (2012 - 2023) Analysis & Trends
For FY2023, Ironwood Pharmaceuticals reported Other Operating Expenses of $1.1 billion.
- Across earlier years, Other Operating Expenses came in at $3.14 million in FY2020 (-81.7%) and $17.18 million in FY2019.
- The Q4 2023 figure is the lowest quarterly Other Operating Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Ironwood Pharmaceuticals | 656.00 Mn | 541,594.32 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 5.00 Mn |
| Jun 30, 2023 | 1.09 Bn |
| Dec 31, 2020 | 897,000.00 |
| Mar 31, 2020 | 2.24 Mn |
| Dec 31, 2019 | 11.01 Mn |
| Sep 30, 2019 | -3.02 Mn |
| Jun 30, 2019 | 8.14 Mn |
| Mar 31, 2019 | 1.04 Mn |
| Sep 30, 2018 | -33.52 Mn |
| Jun 30, 2018 | 1.96 Mn |
| Mar 31, 2018 | 512,000.00 |
| Dec 31, 2017 | -39.30 Mn |
| Sep 30, 2017 | -628,000.00 |
| Jun 30, 2017 | 6.93 Mn |
| Mar 31, 2017 | 1.61 Mn |
| Dec 31, 2016 | 1.10 Mn |
| Sep 30, 2016 | 8.70 Mn |
| Jun 30, 2016 | 1.07 Mn |
| Sep 30, 2015 | 9.49 Mn |
| Jun 30, 2015 | 8.15 Mn |
API Access
Ironwood Pharmaceuticals Other Operating Expenses 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=other-operating-expenses&ticker=IRWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=IRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();