Tarsus Pharmaceuticals (TARS) Return on Sales [ROS] (2021 - 2026)
Tarsus Pharmaceuticals' Return on Sales [ROS] came in at -11.45% for Q2 2026, up 10.16 percentage points from -21.61% a year earlier but down 7.67 percentage points from the prior quarter.
Tarsus Pharmaceuticals (TARS) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tarsus Pharmaceuticals reported Return on Sales [ROS] of -8.00%, up 25.17 percentage points year-over-year; for FY2025, it came in at -15.72%, up 50.18 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +5.59 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -65.90% in FY2024 (+754.63 pp), -820.53% in FY2023 (-577.61 pp), -242.92% in FY2022 (-221.60 pp) and -21.32% in FY2021.
- The five-year range for quarterly Return on Sales [ROS] is -4274.56% (Q4 2021) to -3.78% (Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for ten consecutive quarters, with an average year-over-year change of +339.14 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 4123.95 percentage points), and the weakest in Q1 2022 (a drop of 3653.75 percentage points).
- Business Quant data shows TARS's Return on Sales [ROS] at -3.78% (Q1 2026), -5.26% (Q4 2025) and -12.24% (Q3 2025) in the three quarters before Q2 2026.
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 | Tarsus Pharmaceuticals | 3.16 Bn | 2.10 Bn | 161.80 Mn | -11.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.45% |
| Mar 31, 2026 | -3.78% |
| Dec 31, 2025 | -5.26% |
| Sep 30, 2025 | -12.24% |
| Jun 30, 2025 | -21.61% |
| Mar 31, 2025 | -33.55% |
| Dec 31, 2024 | -36.77% |
| Sep 30, 2024 | -52.29% |
| Jun 30, 2024 | -81.60% |
| Mar 31, 2024 | -136.47% |
| Dec 31, 2023 | -339.94% |
| Sep 30, 2023 | -2,187.87% |
| Jun 30, 2023 | -765.92% |
| Mar 31, 2023 | -998.08% |
| Dec 31, 2022 | -150.61% |
| Sep 30, 2022 | -384.42% |
| Jun 30, 2022 | -34.20% |
| Mar 31, 2022 | -3,621.71% |
| Dec 31, 2021 | -4,274.56% |
| Sep 30, 2021 | -1,266.53% |
Tarsus 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=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TARS", "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=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();