Geospace Technologies (GEOS) Non Operating Interest Expenses (2010 - 2026)
Geospace Technologies' Non Operating Interest Expenses was $40,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.1% from $44,000 a year earlier but up 14.3% from the prior quarter.
Geospace Technologies (GEOS) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Geospace Technologies' Non Operating Interest Expenses was $150,000 through Jun 30, 2026, down 13.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $169,000, down 9.6% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- In earlier fiscal years, Non Operating Interest Expenses was $187,000 in FY2024 (+39.6%), $134,000 in FY2023 (+106.2%) and $65,000 in FY2022.
- Quarterly Non Operating Interest Expenses has moved between $22,000 (fiscal Q3 2023) and $56,000 (fiscal Q1 2024) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for four straight quarters, with an average decline of 6.6% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q3 2024 (growth of 100.0%); the worst was fiscal Q1 2025 (a decline of 21.4%).
- Per Business Quant data, GEOS's Non Operating Interest Expenses in the three fiscal quarters before Q3 2026 was $35,000 (Q2 2026), $37,000 (Q1 2026) and $38,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | - |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | 40,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40,000.00 |
| Mar 31, 2026 | 35,000.00 |
| Dec 31, 2025 | 37,000.00 |
| Sep 30, 2025 | 38,000.00 |
| Jun 30, 2025 | 44,000.00 |
| Mar 31, 2025 | 43,000.00 |
| Dec 31, 2024 | 44,000.00 |
| Sep 30, 2024 | 43,000.00 |
| Jun 30, 2024 | 44,000.00 |
| Mar 31, 2024 | 44,000.00 |
| Dec 31, 2023 | 56,000.00 |
| Sep 30, 2023 | 34,000.00 |
| Jun 30, 2023 | 22,000.00 |
| Mar 31, 2023 | 39,000.00 |
| Dec 31, 2022 | 39,000.00 |
| Sep 30, 2022 | 39,000.00 |
| Jun 30, 2022 | 26,000.00 |
| Sep 30, 2020 | 7,000.00 |
| Jun 30, 2020 | 8,000.00 |
| Mar 31, 2020 | 11,000.00 |
Geospace Technologies 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=GEOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GEOS", "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=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();