Geospace Technologies (GEOS) Revenue (2010 - 2026)
Geospace Technologies (GEOS) recorded Revenue of $15.8 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 36.4% from $24.84 million a year earlier and down 19.9% from the prior quarter.
Geospace Technologies (GEOS) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Geospace Technologies' Revenue came in at $91.85 million as of Jun 30, 2026, down 20.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $110.8 million, down 18.3% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $135.6 million in FY2024 (+8.9%), $124.51 million in FY2023 (+39.5%), $89.25 million in FY2022 (-5.9%) and $94.86 million in FY2021 (+8.0%).
- The fiscal Q3 2026 figure is the lowest quarterly Revenue since fiscal Q1 2018.
- On a year-over-year basis, Revenue rose in two of the last eight quarters, with an average decline of 13.2%.
- Peak year-over-year performance for Revenue in the last five years was growth of 72.9% in fiscal Q1 2023, against a decline of 36.8% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $19.74 million (Q2 2026), $25.59 million (Q1 2026) and $30.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | 15.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.80 Mn |
| Mar 31, 2026 | 19.74 Mn |
| Dec 31, 2025 | 25.59 Mn |
| Sep 30, 2025 | 30.71 Mn |
| Jun 30, 2025 | 24.84 Mn |
| Mar 31, 2025 | 18.02 Mn |
| Dec 31, 2024 | 37.22 Mn |
| Sep 30, 2024 | 35.44 Mn |
| Jun 30, 2024 | 25.86 Mn |
| Mar 31, 2024 | 24.27 Mn |
| Dec 31, 2023 | 50.03 Mn |
| Sep 30, 2023 | 29.32 Mn |
| Jun 30, 2023 | 32.72 Mn |
| Mar 31, 2023 | 31.37 Mn |
| Dec 31, 2022 | 31.11 Mn |
| Sep 30, 2022 | 25.87 Mn |
| Jun 30, 2022 | 20.69 Mn |
| Mar 31, 2022 | 24.70 Mn |
| Dec 31, 2021 | 17.99 Mn |
| Sep 30, 2021 | 19.43 Mn |
Geospace Technologies Revenue 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=revenue&ticker=GEOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();