Ironwood Pharmaceuticals (IRWD) Return on Sales [ROS] (2009 - 2026)
Ironwood Pharmaceuticals (IRWD) posted Return on Sales [ROS] of 70.16% for Q2 2026, up 16.99 percentage points from 53.17% a year earlier and up 2.02 percentage points from the prior quarter.
Ironwood Pharmaceuticals (IRWD) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Ironwood Pharmaceuticals was 60.15%, up 36.38 percentage points year-over-year; for FY2025, it came in at 33.26%, up 6.76 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -3.44 percentage points (FY2020 to FY2025).
- In prior years, Ironwood Pharmaceuticals' Return on Sales [ROS] was 26.50% in FY2024 (+240.04 pp), -213.54% in FY2023 (-274.51 pp), 60.97% in FY2022 (+4.83 pp) and 56.13% in FY2021 (+19.44 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q4 2017.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +13.26 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 1035.14 percentage points; the weakest was Q2 2023, with a drop of 1065.92 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 68.14% (Q1 2026), 14.26% (Q4 2025) and 61.84% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Ironwood Pharmaceuticals | 796.30 Mn | 194.87 Mn | - | 70.00% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 70.00% |
| Jun 30, 2026 | 70.16% |
| Mar 31, 2026 | 68.14% |
| Dec 31, 2025 | 14.26% |
| Sep 30, 2025 | 61.84% |
| Jun 30, 2025 | 53.17% |
| Mar 31, 2025 | -70.75% |
| Dec 31, 2024 | 34.78% |
| Sep 30, 2024 | 27.99% |
| Jun 30, 2024 | 26.46% |
| Mar 31, 2024 | 14.72% |
| Dec 31, 2023 | 31.98% |
| Sep 30, 2023 | 35.19% |
| Jun 30, 2023 | -1,008.68% |
| Mar 31, 2023 | 57.75% |
| Dec 31, 2022 | 63.77% |
| Sep 30, 2022 | 63.03% |
| Jun 30, 2022 | 57.24% |
| Mar 31, 2022 | 59.31% |
| Dec 31, 2021 | 48.32% |
Ironwood Pharmaceuticals Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IRWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();