Geospace Technologies (GEOS) Accumulated Expenses (2010 - 2025)
Geospace Technologies (GEOS) posted Accumulated Expenses of $695,000 for fiscal Q4 2025 (quarter ended Sep 30, 2025), up 29.2% from $538,000 a year earlier.
Geospace Technologies (GEOS) Accumulated Expenses (2010 - 2025) Analysis & Trends
Since fiscal Q4 2010, Geospace Technologies has reported Accumulated Expenses for 38 quarters.
- In prior fiscal years, Geospace Technologies' Accumulated Expenses was $538,000 in FY2024 (-16.1%) and $641,000 in FY2023.
- The fiscal Q4 2025 figure stands as the highest quarterly Accumulated Expenses since fiscal Q1 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 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 |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 695,000.00 |
| Sep 30, 2024 | 538,000.00 |
| Sep 30, 2023 | 641,000.00 |
| Dec 31, 2019 | 6.24 Mn |
| Sep 30, 2019 | 6.37 Mn |
| Jun 30, 2019 | 4.92 Mn |
| Mar 31, 2019 | 5.06 Mn |
| Dec 31, 2018 | 6.39 Mn |
| Sep 30, 2018 | 6.83 Mn |
| Jun 30, 2018 | 5.36 Mn |
| Mar 31, 2018 | 5.30 Mn |
| Dec 31, 2017 | 6.52 Mn |
| Sep 30, 2017 | 6.34 Mn |
| Jun 30, 2017 | 5.67 Mn |
| Mar 31, 2017 | 5.30 Mn |
| Dec 31, 2016 | 7.47 Mn |
| Sep 30, 2016 | 7.85 Mn |
| Jun 30, 2016 | 7.39 Mn |
| Mar 31, 2016 | 5.69 Mn |
| Dec 31, 2015 | 9.72 Mn |
Geospace Technologies Accumulated 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=accumulated-expenses&ticker=GEOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();