Geospace Technologies (GEOS) Return on Sales [ROS] (2010 - 2026)
Geospace Technologies (GEOS) reported Return on Sales [ROS] of -64.15% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 65.63 percentage points from 1.49% a year earlier and down 6.31 percentage points from the prior quarter.
Geospace Technologies (GEOS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Geospace Technologies' Return on Sales [ROS] came in at -44.65%, down 43.87 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -10.18%, down 15.43 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +10.35 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 5.25% in FY2024 (-3.85 pp), 9.10% in FY2023 (+35.02 pp), -25.92% in FY2022 (-8.14 pp) and -17.78% in FY2021 (+2.75 pp).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since fiscal Q1 2018.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -25.47 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 45.11 percentage points); the low point was fiscal Q3 2026 (a drop of 65.63 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -57.84% (Q2 2026), -40.05% (Q1 2026) and -29.98% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | -64.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -64.15% |
| Mar 31, 2026 | -57.84% |
| Dec 31, 2025 | -40.05% |
| Sep 30, 2025 | -29.98% |
| Jun 30, 2025 | 1.49% |
| Mar 31, 2025 | -57.04% |
| Dec 31, 2024 | 21.05% |
| Sep 30, 2024 | 3.33% |
| Jun 30, 2024 | -9.25% |
| Mar 31, 2024 | -18.57% |
| Dec 31, 2023 | 25.66% |
| Sep 30, 2023 | 13.93% |
| Jun 30, 2023 | 9.62% |
| Mar 31, 2023 | 13.95% |
| Dec 31, 2022 | -0.90% |
| Sep 30, 2022 | -31.18% |
| Jun 30, 2022 | -31.58% |
| Mar 31, 2022 | -6.68% |
| Dec 31, 2021 | -38.27% |
| Sep 30, 2021 | -24.69% |
Geospace Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();