Geospace Technologies (GEOS) Operating Expenses (2010 - 2026)
Geospace Technologies' Operating Expenses came in at $10.63 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.8% from $11.79 million a year earlier and down 12.2% from the prior quarter.
Geospace Technologies (GEOS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Geospace Technologies reported Operating Expenses of $48.36 million, down 5.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $48.8 million, up 7.3% from FY2024.
- Operating Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $45.46 million in FY2024 (+9.1%), $41.68 million in FY2023 (+1.2%), $41.18 million in FY2022 (+12.0%) and $36.77 million in FY2021 (-7.2%).
- The fiscal Q3 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q2 2024.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 10.3%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2024 (growth of 45.4%), and the weakest in fiscal Q4 2023 (a decline of 27.3%).
- Business Quant data shows GEOS's Operating Expenses at $12.11 million (Q2 2026), $12.94 million (Q1 2026) and $12.67 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | - |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | 10.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.63 Mn |
| Mar 31, 2026 | 12.11 Mn |
| Dec 31, 2025 | 12.94 Mn |
| Sep 30, 2025 | 12.67 Mn |
| Jun 30, 2025 | 11.79 Mn |
| Mar 31, 2025 | 12.03 Mn |
| Dec 31, 2024 | 12.31 Mn |
| Sep 30, 2024 | 14.75 Mn |
| Jun 30, 2024 | 10.92 Mn |
| Mar 31, 2024 | 10.39 Mn |
| Dec 31, 2023 | 9.40 Mn |
| Sep 30, 2023 | 10.14 Mn |
| Jun 30, 2023 | 10.83 Mn |
| Mar 31, 2023 | 9.89 Mn |
| Dec 31, 2022 | 10.81 Mn |
| Sep 30, 2022 | 13.95 Mn |
| Jun 30, 2022 | 10.19 Mn |
| Mar 31, 2022 | 8.46 Mn |
| Dec 31, 2021 | 11.01 Mn |
| Sep 30, 2021 | 9.75 Mn |
Geospace Technologies 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=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();