Earth Science Tech (ETST) Cash & Equivalents (2013 - 2026)
Earth Science Tech (ETST) recorded Cash & Equivalents of $631,118 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 28.1% from $877,585 a year earlier and down 20.8% from the prior quarter.
Earth Science Tech (ETST) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Earth Science Tech reported Cash & Equivalents of $796,797, down 45.9% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 118.1% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $1.47 million in FY2025 (+111.1%), $697,721 in FY2024, $35,756 in FY2023 (+32.7%) and $26,942 in FY2022 (+66.7%).
- Quarterly Cash & Equivalents has ranged from $1,205 in fiscal Q2 2023 to $1.53 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for five consecutive quarters, with growth averaging 103.9% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 750.5% in fiscal Q3 2024, against a decline of 95.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $796,797 (Q4 2026), $415,699 (Q3 2026) and $1.24 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Earth Science Tech | 25.88 Mn | 17.17 Mn | 6.28 Mn | 631,118.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 631,118.00 |
| Mar 31, 2026 | 796,797.00 |
| Dec 31, 2025 | 415,699.00 |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | 877,585.00 |
| Mar 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 522,239.00 |
| Sep 30, 2024 | 1.53 Mn |
| Jun 30, 2024 | 1.38 Mn |
| Mar 31, 2024 | 697,721.00 |
| Dec 31, 2023 | 205,718.00 |
| Sep 30, 2023 | 187,650.00 |
| Jun 30, 2023 | 91,989.00 |
| Mar 31, 2023 | 35,756.00 |
| Dec 31, 2022 | 24,188.00 |
| Sep 30, 2022 | 1,205.00 |
| Jun 30, 2022 | 35,756.00 |
| Mar 31, 2022 | 26,942.00 |
| Dec 31, 2021 | 10,586.00 |
| Sep 30, 2021 | 25,217.00 |
Earth Science Tech Cash & Equivalents 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=cash-and-equivalents&ticker=ETST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ETST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();