Ironwood Pharmaceuticals (IRWD) Exchange Rate Effect (2023 - 2026)
Ironwood Pharmaceuticals (IRWD) reported Exchange Rate Effect of $77,000 for Q2 2026, compared with -$647,000 a year earlier.
Ironwood Pharmaceuticals (IRWD) Exchange Rate Effect (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ironwood Pharmaceuticals' Exchange Rate Effect came in at $296,000; for FY2025, it was -$329,000.
- By year, Exchange Rate Effect came in at -$32,000 in FY2024 and -$53,000 in FY2023.
- Five-year quarterly Exchange Rate Effect spans a low of -$647,000 in Q2 2025 and a high of $351,000 in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$106,000 (Q1 2026), $351,000 (Q4 2025) and -$26,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 56.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 10.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | -6.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | -46.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -7.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -4.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.00 Mn |
| 10 | Ironwood Pharmaceuticals | 796.30 Mn | 194.87 Mn | - | -152,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -152,000.00 |
| Jun 30, 2026 | 77,000.00 |
| Mar 31, 2026 | -106,000.00 |
| Dec 31, 2025 | 351,000.00 |
| Sep 30, 2025 | -26,000.00 |
| Jun 30, 2025 | -647,000.00 |
| Mar 31, 2025 | -7,000.00 |
| Dec 31, 2024 | 21,000.00 |
| Sep 30, 2024 | -26,000.00 |
| Jun 30, 2024 | -51,000.00 |
| Mar 31, 2024 | 24,000.00 |
| Dec 31, 2023 | -50,000.00 |
Ironwood Pharmaceuticals Exchange Rate Effect 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=exchange-rate-effect&ticker=IRWD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=IRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();