Geospace Technologies (GEOS) EBITDA Margin (2010 - 2026)
Geospace Technologies (GEOS) posted EBITDA Margin of -55.03% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 60.29 percentage points from 5.26% a year earlier and down 4.49 percentage points from the prior quarter.
Geospace Technologies (GEOS) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Geospace Technologies was -38.41%, down 43.02 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -4.41%, down 17.97 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -12.82 percentage points (FY2020 to FY2025).
- In prior fiscal years, Geospace Technologies' EBITDA Margin was 13.55% in FY2024 (-5.64 pp), 19.19% in FY2023 (+21.29 pp), -2.10% in FY2022 (-8.06 pp) and 5.96% in FY2021 (-2.45 pp).
- The fiscal Q3 2026 figure stands as the lowest quarterly EBITDA Margin since fiscal Q1 2018.
- On a year-over-year basis, EBITDA Margin increased in two of the last eight quarters, with an average year-over-year change of -26.10 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q4 2023, with a gain of 40.78 percentage points; the weakest was fiscal Q1 2026, with a drop of 60.79 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was -50.54% (Q2 2026), -34.58% (Q1 2026) and -25.25% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 27.98% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 23.02% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 34.66% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 20.29% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 28.95% |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | -55.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.03% |
| Mar 31, 2026 | -50.54% |
| Dec 31, 2025 | -34.58% |
| Sep 30, 2025 | -25.25% |
| Jun 30, 2025 | 5.26% |
| Mar 31, 2025 | -51.84% |
| Dec 31, 2024 | 26.21% |
| Sep 30, 2024 | 10.17% |
| Jun 30, 2024 | -5.40% |
| Mar 31, 2024 | -7.00% |
| Dec 31, 2023 | 32.50% |
| Sep 30, 2023 | 23.28% |
| Jun 30, 2023 | 12.98% |
| Mar 31, 2023 | 17.46% |
| Dec 31, 2022 | 10.31% |
| Sep 30, 2022 | -17.50% |
| Jun 30, 2022 | -24.81% |
| Mar 31, 2022 | -1.01% |
| Dec 31, 2021 | -29.65% |
| Sep 30, 2021 | -17.02% |
Geospace Technologies EBITDA Margin 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=ebitda-margin&ticker=GEOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();