Ironwood Pharmaceuticals (IRWD) Operating Expenses (2010 - 2026)
Ironwood Pharmaceuticals (IRWD) reported Operating Expenses of $33.73 million for Q2 2026, down 15.5% from $39.92 million a year earlier and down 0.6% from the prior quarter.
Ironwood Pharmaceuticals (IRWD) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ironwood Pharmaceuticals' Operating Expenses came in at $155.15 million, down 34.0% year-over-year; for FY2025, it came in at $197.65 million, down 23.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $258.29 million in FY2024 (-81.4%), $1.39 billion in FY2023 (+766.2%), $160.26 million in FY2022 (-11.7%) and $181.49 million in FY2021 (-26.4%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q2 2011.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with an average decline of 24.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 105.9%); the low point was Q2 2024 (a decline of 94.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $33.93 million (Q1 2026), $40.9 million (Q4 2025) and $46.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Ironwood Pharmaceuticals | 687.40 Mn | 31.94 Mn | - | 33.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.73 Mn |
| Mar 31, 2026 | 33.93 Mn |
| Dec 31, 2025 | 40.90 Mn |
| Sep 30, 2025 | 46.58 Mn |
| Jun 30, 2025 | 39.92 Mn |
| Mar 31, 2025 | 70.25 Mn |
| Dec 31, 2024 | 59.05 Mn |
| Sep 30, 2024 | 65.96 Mn |
| Jun 30, 2024 | 69.42 Mn |
| Mar 31, 2024 | 63.86 Mn |
| Dec 31, 2023 | 79.96 Mn |
| Sep 30, 2023 | 73.72 Mn |
| Jun 30, 2023 | 1.19 Bn |
| Mar 31, 2023 | 43.96 Mn |
| Dec 31, 2022 | 38.84 Mn |
| Sep 30, 2022 | 40.16 Mn |
| Jun 30, 2022 | 41.58 Mn |
| Mar 31, 2022 | 39.68 Mn |
| Dec 31, 2021 | 60.54 Mn |
| Sep 30, 2021 | 38.58 Mn |
Ironwood Pharmaceuticals 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=operating-expenses&ticker=IRWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=IRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();