Geospace Technologies (GEOS) Price to Earnings (2011 - 2024)
Geospace Technologies' (GEOS) Price to Earnings came in at 10.95 for fiscal Q3 2024 (quarter ended Jun 30, 2024), down 0.5% from the prior quarter.
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Analysis
Geospace Technologies (GEOS) Price to Earnings (2011 - 2024) Analysis & Trends
For FY2023 (ended Sep 30, 2023), Geospace Technologies' Price to Earnings stood at 13.99.
- Quarterly Price to Earnings has run from a low of 6.91 in fiscal Q1 2024 to a high of 13.99 in fiscal Q4 2023 over five years.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 11.00 (Q2 2024), 6.91 (Q1 2024) and 13.99 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Geospace Technologies | 62.09 Mn | 8.98 Mn | 496,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 10.95 |
| Mar 31, 2024 | 11.00 |
| Dec 31, 2023 | 6.91 |
| Sep 30, 2023 | 13.99 |
| Dec 31, 2014 | 47.79 |
| Sep 30, 2014 | 12.52 |
| Jun 30, 2014 | 13.80 |
| Mar 31, 2014 | 13.24 |
| Dec 31, 2013 | 17.33 |
| Sep 30, 2013 | 15.68 |
| Jun 30, 2013 | 14.83 |
| Mar 31, 2013 | 25.86 |
| Dec 31, 2012 | 23.59 |
| Sep 30, 2012 | 22.31 |
| Jun 30, 2012 | 16.66 |
| Mar 31, 2012 | 20.40 |
| Dec 31, 2011 | 16.28 |
| Sep 30, 2011 | 12.04 |
| Jun 30, 2011 | 20.33 |
| Mar 31, 2011 | 22.44 |
API Access
Geospace Technologies Price to Earnings 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=price-to-earnings&ticker=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();