Immatics (IMTX) Return on Sales [ROS] (2019 - 2026)
Immatics' Return on Sales [ROS] was -734.95% in Q2 2026, up 386.58 percentage points from -1121.53% a year earlier and up 132.94 percentage points from the prior quarter.
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Analysis
Immatics (IMTX) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Immatics' Return on Sales [ROS] was -544.34% through Jun 30, 2026, down 476.17 percentage points year-over-year; for FY2025, it came in at -377.11%, down 352.33 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -154.04 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -24.78% in FY2024 (+163.61 pp), -188.39% in FY2023 (-205.72 pp), 17.33% in FY2022 (+265.57 pp) and -248.24% in FY2021 (-25.17 pp).
- Quarterly Return on Sales [ROS] has moved between -1121.53% (Q2 2025) and 66.56% (Q1 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -241.41 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2024 (a gain of 562.39 percentage points); the worst was Q3 2025 (a drop of 1054.28 percentage points).
- Per Business Quant data, IMTX's Return on Sales [ROS] in the three quarters before Q2 2026 was -867.89% (Q1 2026), -196.76% (Q4 2025) and -1053.27% (Q3 2025).
Peer Set
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 | Immatics | 1.02 Bn | -1.02 Bn | - | -734.95% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -734.95% |
| Mar 31, 2026 | -867.89% |
| Dec 31, 2025 | -196.76% |
| Sep 30, 2025 | -1,053.27% |
| Jun 30, 2025 | -1,121.53% |
| Mar 31, 2025 | -190.37% |
| Dec 31, 2024 | 1.61% |
| Sep 30, 2024 | 1.02% |
| Jun 30, 2024 | -141.64% |
| Mar 31, 2024 | -44.50% |
| Dec 31, 2023 | -174.07% |
| Sep 30, 2023 | -561.37% |
| Jun 30, 2023 | -64.04% |
| Mar 31, 2023 | -269.80% |
| Dec 31, 2022 | 0.12% |
| Sep 30, 2022 | -145.58% |
| Jun 30, 2022 | -96.76% |
| Mar 31, 2022 | 66.56% |
| Dec 31, 2021 | -102.12% |
| Sep 30, 2021 | -356.99% |
API Access
Immatics 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=IMTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IMTX", "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=IMTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();