Earth Science Tech (ETST) Return on Sales [ROS] (2011 - 2026)
Earth Science Tech's Return on Sales [ROS] was 6.40% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.64 percentage points from 2.76% a year earlier but down 5.63 percentage points from the prior quarter.
Earth Science Tech (ETST) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Earth Science Tech's Return on Sales [ROS] was 10.14% through Jun 30, 2026, up 2.26 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 9.27%, down 1.14 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +3062.54 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 10.41% in FY2025 (+2.95 pp), 7.47% in FY2024 (+1937.30 pp), -1929.83% in FY2023 (-324.61 pp) and -1605.23% in FY2022 (+1448.04 pp).
- Quarterly Return on Sales [ROS] has moved between -37581.77% (fiscal Q4 2022) and 24.90% (fiscal Q2 2024) 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 -0.86 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2023 (a gain of 37322.39 percentage points); the worst was fiscal Q4 2022 (a drop of 36544.38 percentage points).
- Per Business Quant data, ETST's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was 12.03% (Q4 2026), 16.00% (Q3 2026) and 6.44% (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 | Earth Science Tech | 25.88 Mn | 17.17 Mn | 6.28 Mn | 6.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.40% |
| Mar 31, 2026 | 12.03% |
| Dec 31, 2025 | 16.00% |
| Sep 30, 2025 | 6.44% |
| Jun 30, 2025 | 2.76% |
| Mar 31, 2025 | 15.30% |
| Dec 31, 2024 | 3.08% |
| Sep 30, 2024 | 9.74% |
| Jun 30, 2024 | 12.43% |
| Mar 31, 2024 | 4.30% |
| Dec 31, 2023 | 6.10% |
| Sep 30, 2023 | 24.90% |
| Jun 30, 2023 | -10.45% |
| Mar 31, 2023 | -259.38% |
| Dec 31, 2022 | -1,905.84% |
| Mar 31, 2022 | -37,581.77% |
| Dec 31, 2021 | -2,525.67% |
| Sep 30, 2021 | -1,881.47% |
| Jun 30, 2021 | -154.10% |
| Mar 31, 2021 | -1,037.38% |
Earth Science Tech 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=ETST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ETST", "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=ETST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();