Geospace Technologies (GEOS) EV to FCF (2011 - 2024)
Geospace Technologies' (GEOS) EV to FCF was 77.09 for fiscal Q2 2024 (quarter ended Mar 31, 2024), up 503.9% from the prior quarter.
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Analysis
Geospace Technologies (GEOS) EV to FCF (2011 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Geospace Technologies' EV to FCF came in at 18.55; for FY2023 (ended Sep 30, 2023), it was 24.31.
- By fiscal year, EV to FCF came in at 4.10 in FY2020.
- The fiscal Q2 2024 figure ranks as the highest quarterly EV to FCF since fiscal Q2 2017.
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 |
|---|---|
| Mar 31, 2024 | 77.09 |
| Dec 31, 2023 | 12.76 |
| Sep 30, 2023 | 24.31 |
| Mar 31, 2021 | 13.41 |
| Dec 31, 2020 | 3.62 |
| Sep 30, 2020 | 4.10 |
| Jun 30, 2020 | 66.22 |
| Dec 31, 2017 | 26.45 |
| Sep 30, 2017 | 21.12 |
| Jun 30, 2017 | 13.03 |
| Mar 31, 2017 | 215.15 |
| Mar 31, 2016 | 203.58 |
| Dec 31, 2014 | 137.88 |
| Sep 30, 2014 | 9.99 |
| Jun 30, 2014 | 18.02 |
| Mar 31, 2014 | 45.11 |
| Sep 30, 2012 | 61.95 |
| Jun 30, 2012 | 202.13 |
| Jun 30, 2011 | 84.00 |
API Access
Geospace Technologies EV to FCF 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=ev-to-fcf&ticker=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();