Insmed (INSM) Return on Sales [ROS] (2010 - 2026)
Insmed (INSM) recorded Return on Sales [ROS] of -0.36% in Q2 2026, up 290.91 percentage points from -291.28% a year earlier and up 49.75 percentage points from the prior quarter.
Insmed (INSM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Insmed's Return on Sales [ROS] came in at -73.89% as of Jun 30, 2026, up 178.52 percentage points year-over-year; for FY2025, it was -205.59%, up 35.88 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -44.27 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -241.47% in FY2024 (-8.97 pp), -232.51% in FY2023 (-46.12 pp), -186.39% in FY2022 (+12.64 pp) and -199.03% in FY2021 (-37.71 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +60.44 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 290.91 percentage points in Q2 2026, against a drop of 169.56 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -50.11% (Q1 2026), -121.19% (Q4 2025) and -257.13% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Insmed | 24.26 Bn | 18.76 Bn | 358.27 Mn | -0.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.36% |
| Mar 31, 2026 | -50.11% |
| Dec 31, 2025 | -121.19% |
| Sep 30, 2025 | -257.13% |
| Jun 30, 2025 | -291.28% |
| Mar 31, 2025 | -267.33% |
| Dec 31, 2024 | -220.61% |
| Sep 30, 2024 | -228.45% |
| Jun 30, 2024 | -319.80% |
| Mar 31, 2024 | -192.72% |
| Dec 31, 2023 | -213.01% |
| Sep 30, 2023 | -186.75% |
| Jun 30, 2023 | -304.97% |
| Mar 31, 2023 | -227.19% |
| Dec 31, 2022 | -255.44% |
| Sep 30, 2022 | -188.54% |
| Jun 30, 2022 | -135.41% |
| Mar 31, 2022 | -169.15% |
| Dec 31, 2021 | -176.53% |
| Sep 30, 2021 | -221.61% |
Insmed 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=INSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "INSM", "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=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();