Earth Science Tech (ETST) Operating Expenses (2011 - 2026)
Earth Science Tech (ETST) posted Operating Expenses of $5.7 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 2.6% from $5.85 million a year earlier but up 11.0% from the prior quarter.
Earth Science Tech (ETST) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Earth Science Tech was $22.03 million, up 3.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $22.18 million, up 6.4% from FY2025.
- Annual Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 38.6% (FY2021 to FY2026).
- In prior fiscal years, Earth Science Tech's Operating Expenses was $20.85 million in FY2025 (+200.6%), $6.94 million in FY2024 (+623.5%), $958,743 in FY2023 (+339.4%) and $218,190 in FY2022 (-95.0%).
- Quarterly Operating Expenses has run from a low of $47,313 in fiscal Q2 2022 to a high of $6.14 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 107.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2024, with growth of 812.4%; the weakest was fiscal Q2 2022, with a decline of 75.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $5.13 million (Q4 2026), $5.06 million (Q3 2026) and $6.14 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Earth Science Tech | 25.88 Mn | 17.17 Mn | 6.28 Mn | 5.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.70 Mn |
| Mar 31, 2026 | 5.13 Mn |
| Dec 31, 2025 | 5.06 Mn |
| Sep 30, 2025 | 6.14 Mn |
| Jun 30, 2025 | 5.85 Mn |
| Mar 31, 2025 | 5.21 Mn |
| Dec 31, 2024 | 4.86 Mn |
| Sep 30, 2024 | 5.44 Mn |
| Jun 30, 2024 | 5.35 Mn |
| Mar 31, 2024 | 3.87 Mn |
| Dec 31, 2023 | 2.15 Mn |
| Sep 30, 2023 | 701,750.00 |
| Jun 30, 2023 | 171,747.00 |
| Mar 31, 2023 | 139,675.00 |
| Dec 31, 2022 | 49,983.00 |
| Sep 30, 2022 | 76,913.00 |
| Jun 30, 2022 | 692,172.00 |
| Mar 31, 2022 | 53,109.00 |
| Dec 31, 2021 | 102,481.00 |
| Sep 30, 2021 | 47,313.00 |
Earth Science Tech Operating Expenses 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=operating-expenses&ticker=ETST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ETST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();