Geospace Technologies (GEOS) Total Liabilities (2010 - 2026)
Geospace Technologies' Total Liabilities was $29.42 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 89.3% from $15.54 million a year earlier but down 6.9% from the prior quarter.
Geospace Technologies (GEOS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Liabilities at Geospace Technologies came in at $27.53 million, up 56.7% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $17.57 million in FY2024 (-13.6%), $20.33 million in FY2023 (+51.6%), $13.41 million in FY2022 (-37.6%) and $21.47 million in FY2021 (-17.0%).
- Quarterly Total Liabilities has moved between $12.83 million (fiscal Q2 2022) and $31.58 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for six straight quarters, with growth averaging 36.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2026 (growth of 99.0%); the worst was fiscal Q1 2022 (a decline of 67.8%).
- Per Business Quant data, GEOS's Total Liabilities in the three fiscal quarters before Q3 2026 was $31.58 million (Q2 2026), $28.74 million (Q1 2026) and $27.53 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 | 29.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.42 Mn |
| Mar 31, 2026 | 31.58 Mn |
| Dec 31, 2025 | 28.74 Mn |
| Sep 30, 2025 | 27.53 Mn |
| Jun 30, 2025 | 15.54 Mn |
| Mar 31, 2025 | 15.87 Mn |
| Dec 31, 2024 | 17.23 Mn |
| Sep 30, 2024 | 17.57 Mn |
| Jun 30, 2024 | 14.53 Mn |
| Mar 31, 2024 | 15.50 Mn |
| Dec 31, 2023 | 21.08 Mn |
| Sep 30, 2023 | 20.33 Mn |
| Jun 30, 2023 | 16.73 Mn |
| Mar 31, 2023 | 12.91 Mn |
| Dec 31, 2022 | 16.50 Mn |
| Sep 30, 2022 | 13.41 Mn |
| Jun 30, 2022 | 13.16 Mn |
| Mar 31, 2022 | 12.83 Mn |
| Dec 31, 2021 | 15.14 Mn |
| Sep 30, 2021 | 21.47 Mn |
Geospace Technologies Total Liabilities 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=total-liabilities&ticker=GEOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();