Geospace Technologies (GEOS) Land & Improvements (2012 - 2022)
Geospace Technologies' Land & Improvements came in at $7.86 million for fiscal Q4 2022 (quarter ended Sep 30, 2022), down 1.0% from $7.93 million a year earlier.
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Analysis
Geospace Technologies (GEOS) Land & Improvements (2012 - 2022) Analysis & Trends
Going back to fiscal Q4 2012, Geospace Technologies' Land & Improvements data covers 11 quarters.
- Land & Improvements carries a five-year compound annual growth rate of -1.7% (FY2017 to FY2022).
- Going back by fiscal year, Land & Improvements was $7.93 million in FY2021 (+3.0%), $7.7 million in FY2020 (-2.9%), $7.93 million in FY2019 (-7.2%) and $8.55 million in FY2018 (-0.2%).
- The fiscal Q4 2022 figure represents the lowest quarterly Land & Improvements since fiscal Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 2.53 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 424.00 Mn |
| 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 |
|---|---|
| Sep 30, 2022 | 7.86 Mn |
| Sep 30, 2021 | 7.93 Mn |
| Sep 30, 2020 | 7.70 Mn |
| Sep 30, 2019 | 7.93 Mn |
| Sep 30, 2018 | 8.55 Mn |
| Sep 30, 2017 | 8.57 Mn |
| Sep 30, 2016 | 8.55 Mn |
| Sep 30, 2015 | 8.71 Mn |
| Sep 30, 2014 | 8.83 Mn |
| Sep 30, 2013 | 8.71 Mn |
| Sep 30, 2012 | 3.26 Mn |
API Access
Geospace Technologies Land & Improvements 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=land-and-improvements&ticker=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();