Earth Science Tech (ETST) Non Operating Interest Expenses (2014 - 2026)
Earth Science Tech (ETST) recorded Non Operating Interest Expenses of $16,197 in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 279.1% from $4,272 a year earlier.
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Analysis
Earth Science Tech (ETST) Non Operating Interest Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Earth Science Tech's Non Operating Interest Expenses came in at $28,351 as of Jun 30, 2026, up 20.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $16,327, down 22.9% from FY2025.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 27.9% (FY2021 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $21,189 in FY2025, $47,433 in FY2023 (-45.3%) and $86,706 in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Non Operating Interest Expenses since fiscal Q2 2024.
- On a year-over-year basis, Non Operating Interest Expenses rose in three of the last six quarters, with growth averaging 64.4%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 749.5% in fiscal Q1 2023, against a decline of 94.3% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$8.00 (Q4 2026), $4,769 (Q3 2026) and $7,393 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Earth Science Tech | 25.88 Mn | 17.17 Mn | 6.28 Mn | 16,197.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16,197.00 |
| Mar 31, 2026 | -8.00 |
| Dec 31, 2025 | 4,769.00 |
| Sep 30, 2025 | 7,393.00 |
| Jun 30, 2025 | 4,272.00 |
| Mar 31, 2025 | 10,092.00 |
| Dec 31, 2024 | 6,290.00 |
| Sep 30, 2024 | 2,843.00 |
| Jun 30, 2024 | 1,964.00 |
| Dec 31, 2023 | 13,838.00 |
| Sep 30, 2023 | 34,911.00 |
| Jun 30, 2023 | 12,618.00 |
| Mar 31, 2023 | 17,868.00 |
| Dec 31, 2022 | 18,321.00 |
| Sep 30, 2022 | 5,646.00 |
| Jun 30, 2022 | 10,118.00 |
| Mar 31, 2022 | 78,666.00 |
| Dec 31, 2021 | 2,452.00 |
| Sep 30, 2021 | 4,397.00 |
| Jun 30, 2021 | 1,191.00 |
API Access
Earth Science Tech Non Operating Interest 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=non-operating-interest-expenses&ticker=ETST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ETST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();