Geospace Technologies (GEOS) Assets (2010 - 2026)
Geospace Technologies (GEOS) posted Assets of $125.13 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 16.5% from $149.83 million a year earlier and down 8.5% from the prior quarter.
Geospace Technologies (GEOS) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Geospace Technologies' Assets came in at $153.04 million, up 0.6% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In prior fiscal years, Geospace Technologies' Assets was $152.19 million in FY2024 (-0.6%), $153.04 million in FY2023 (+13.3%), $135.06 million in FY2022 (-17.6%) and $163.93 million in FY2021 (-12.3%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Assets in data going back to fiscal Q4 2010.
- On a year-over-year basis, Assets has declined in each of the last three quarters, with an average decline of 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q1 2024, with growth of 20.9%; the weakest was fiscal Q1 2022, with a decline of 20.5%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $136.72 million (Q2 2026), $144.62 million (Q1 2026) and $153.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | 125.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.13 Mn |
| Mar 31, 2026 | 136.72 Mn |
| Dec 31, 2025 | 144.62 Mn |
| Sep 30, 2025 | 153.04 Mn |
| Jun 30, 2025 | 149.83 Mn |
| Mar 31, 2025 | 148.96 Mn |
| Dec 31, 2024 | 159.94 Mn |
| Sep 30, 2024 | 152.19 Mn |
| Jun 30, 2024 | 151.95 Mn |
| Mar 31, 2024 | 157.70 Mn |
| Dec 31, 2023 | 167.38 Mn |
| Sep 30, 2023 | 153.04 Mn |
| Jun 30, 2023 | 145.68 Mn |
| Mar 31, 2023 | 138.44 Mn |
| Dec 31, 2022 | 138.43 Mn |
| Sep 30, 2022 | 135.06 Mn |
| Jun 30, 2022 | 142.40 Mn |
| Mar 31, 2022 | 145.61 Mn |
| Dec 31, 2021 | 150.53 Mn |
| Sep 30, 2021 | 163.93 Mn |
Geospace Technologies Assets 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=assets&ticker=GEOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();