Geospace Technologies (GEOS) Cost of Revenue (2010 - 2026)
Geospace Technologies (GEOS) recorded Cost of Revenue of $15.31 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 11.5% from $17.3 million a year earlier and down 19.6% from the prior quarter.
Geospace Technologies (GEOS) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Geospace Technologies' Cost of Revenue came in at $84.5 million as of Jun 30, 2026, up 20.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $77.91 million, down 6.2% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $83.03 million in FY2024 (+14.0%), $72.82 million in FY2023 (+2.3%), $71.21 million in FY2022 (-9.4%) and $78.57 million in FY2021 (+22.0%).
- The fiscal Q3 2026 figure is the lowest quarterly Cost of Revenue since fiscal Q4 2023.
- On a year-over-year basis, Cost of Revenue rose in four of the last eight quarters, with growth averaging 7.3%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 39.7% in fiscal Q4 2025, against a decline of 38.6% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $19.05 million (Q2 2026), $22.89 million (Q1 2026) and $27.25 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | 15.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.31 Mn |
| Mar 31, 2026 | 19.05 Mn |
| Dec 31, 2025 | 22.89 Mn |
| Sep 30, 2025 | 27.25 Mn |
| Jun 30, 2025 | 17.30 Mn |
| Mar 31, 2025 | 16.28 Mn |
| Dec 31, 2024 | 17.07 Mn |
| Sep 30, 2024 | 19.51 Mn |
| Jun 30, 2024 | 17.33 Mn |
| Mar 31, 2024 | 18.39 Mn |
| Dec 31, 2023 | 27.80 Mn |
| Sep 30, 2023 | 15.09 Mn |
| Jun 30, 2023 | 18.74 Mn |
| Mar 31, 2023 | 18.42 Mn |
| Dec 31, 2022 | 20.58 Mn |
| Sep 30, 2022 | 19.99 Mn |
| Jun 30, 2022 | 17.04 Mn |
| Mar 31, 2022 | 17.89 Mn |
| Dec 31, 2021 | 16.29 Mn |
| Sep 30, 2021 | 16.33 Mn |
Geospace Technologies Cost of 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=cost-of-revenue&ticker=GEOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();