Ironwood Pharmaceuticals (IRWD) Accumulated Expenses (2010 - 2026)
Ironwood Pharmaceuticals' Accumulated Expenses came in at $25.53 million for Q2 2026, up 6.2% from $24.03 million a year earlier but down 8.5% from the prior quarter.
Ironwood Pharmaceuticals (IRWD) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Ironwood Pharmaceuticals' Accumulated Expenses was $33.24 million, up 23.8% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $26.85 million in FY2024 (-39.3%), $44.25 million in FY2023 (+165.0%), $16.7 million in FY2022 (-29.1%) and $23.57 million in FY2021 (-11.0%).
- The five-year range for quarterly Accumulated Expenses is $13.43 million (Q2 2022) to $79.59 million (Q2 2023).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 11.1%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2023 (growth of 492.8%), and the weakest in Q2 2024 (a decline of 59.3%).
- Business Quant data shows IRWD's Accumulated Expenses at $27.9 million (Q1 2026), $33.24 million (Q4 2025) and $34.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn |
| 10 | Ironwood Pharmaceuticals | 560.60 Mn | -94.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.53 Mn |
| Mar 31, 2026 | 27.90 Mn |
| Dec 31, 2025 | 33.24 Mn |
| Sep 30, 2025 | 34.62 Mn |
| Jun 30, 2025 | 24.03 Mn |
| Mar 31, 2025 | 33.44 Mn |
| Dec 31, 2024 | 26.85 Mn |
| Sep 30, 2024 | 33.57 Mn |
| Jun 30, 2024 | 32.41 Mn |
| Mar 31, 2024 | 31.40 Mn |
| Dec 31, 2023 | 44.25 Mn |
| Sep 30, 2023 | 62.71 Mn |
| Jun 30, 2023 | 79.59 Mn |
| Mar 31, 2023 | 17.77 Mn |
| Dec 31, 2022 | 16.70 Mn |
| Sep 30, 2022 | 17.60 Mn |
| Jun 30, 2022 | 13.43 Mn |
| Mar 31, 2022 | 16.85 Mn |
| Dec 31, 2021 | 23.57 Mn |
| Sep 30, 2021 | 20.13 Mn |
Ironwood Pharmaceuticals Accumulated 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=accumulated-expenses&ticker=IRWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=IRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();