Ironwood Pharmaceuticals (IRWD) Total Current Liabilities (2010 - 2026)
Ironwood Pharmaceuticals (IRWD) reported Total Current Liabilities of $32.85 million for Q2 2026, down 85.9% from $232.53 million a year earlier and down 86.1% from the prior quarter.
Ironwood Pharmaceuticals (IRWD) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ironwood Pharmaceuticals posted Total Current Liabilities of $242.22 million, up 523.5% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 49.7% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $38.85 million in FY2024 (-85.9%), $276.1 million in FY2023 (+981.7%), $25.53 million in FY2022 (-84.2%) and $161.7 million in FY2021 (+402.6%).
- The Q2 2026 figure ranks as the lowest quarterly Total Current Liabilities since Q1 2023.
- Year over year, Total Current Liabilities gained in four of the last eight quarters, with growth averaging 172.7%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2023 (growth of 981.7%); the low point was Q4 2024 (a decline of 85.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $236.31 million (Q1 2026), $242.22 million (Q4 2025) and $242.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,163.39 Bn | 1,131.97 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 634.39 Bn | 552.91 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 502.68 Bn | 475.79 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 377.37 Bn | 331.74 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 303.41 Bn | 267.40 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 266.55 Bn | 240.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 240.56 Bn | 195.96 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 193.19 Bn | 167.38 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 172.14 Bn | 118.78 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Ironwood Pharmaceuticals | 586.93 Mn | -68.54 Mn | - | 32.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.85 Mn |
| Mar 31, 2026 | 236.31 Mn |
| Dec 31, 2025 | 242.22 Mn |
| Sep 30, 2025 | 242.50 Mn |
| Jun 30, 2025 | 232.53 Mn |
| Mar 31, 2025 | 48.10 Mn |
| Dec 31, 2024 | 38.85 Mn |
| Sep 30, 2024 | 49.38 Mn |
| Jun 30, 2024 | 45.51 Mn |
| Mar 31, 2024 | 252.44 Mn |
| Dec 31, 2023 | 276.10 Mn |
| Sep 30, 2023 | 280.58 Mn |
| Jun 30, 2023 | 305.39 Mn |
| Mar 31, 2023 | 23.84 Mn |
| Dec 31, 2022 | 25.53 Mn |
| Sep 30, 2022 | 27.12 Mn |
| Jun 30, 2022 | 23.30 Mn |
| Mar 31, 2022 | 147.40 Mn |
| Dec 31, 2021 | 161.70 Mn |
| Sep 30, 2021 | 145.69 Mn |
Ironwood Pharmaceuticals Total Current Liabilities 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=total-current-liabilities&ticker=IRWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=IRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();