Geospace Technologies (GEOS) Finished Goods (2012 - 2017)
Geospace Technologies (GEOS) posted Finished Goods of $36.19 million for fiscal Q3 2017 (quarter ended Jun 30, 2017), down 18.4% from $44.37 million a year earlier but up 3.6% from the prior quarter.
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Analysis
Geospace Technologies (GEOS) Finished Goods (2012 - 2017) Analysis & Trends
At the end of FY2016 (ended Sep 30, 2016), Geospace Technologies' Finished Goods came in at $40.26 million, down 26.9% from FY2015.
- Annual Finished Goods shows a four-year compound annual growth rate of 5.2% (FY2012 to FY2016).
- In prior fiscal years, Geospace Technologies' Finished Goods was $55.07 million in FY2015 (+29.7%), $42.47 million in FY2014 (-4.3%), $44.39 million in FY2013 (+35.2%) and $32.85 million in FY2012.
- Quarterly Finished Goods has run from a low of $21.61 million in fiscal Q1 2014 to a high of $55.07 million in fiscal Q4 2015 over five years.
- On a year-over-year basis, Finished Goods has declined in each of the last six quarters, with an average decline of 10.5% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was fiscal Q1 2015, with growth of 126.1%; the weakest was fiscal Q1 2017, with a decline of 27.6%.
- According to Business Quant data, Finished Goods for the three prior fiscal quarters was $34.93 million (Q2 2017), $38.2 million (Q1 2017) and $40.26 million (Q4 2016).
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, 2017 | 36.19 Mn |
| Mar 31, 2017 | 34.93 Mn |
| Dec 31, 2016 | 38.20 Mn |
| Sep 30, 2016 | 40.26 Mn |
| Jun 30, 2016 | 44.37 Mn |
| Mar 31, 2016 | 46.25 Mn |
| Dec 31, 2015 | 52.76 Mn |
| Sep 30, 2015 | 55.07 Mn |
| Jun 30, 2015 | 54.40 Mn |
| Mar 31, 2015 | 49.20 Mn |
| Dec 31, 2014 | 48.87 Mn |
| Sep 30, 2014 | 42.47 Mn |
| Jun 30, 2014 | 40.41 Mn |
| Mar 31, 2014 | 31.74 Mn |
| Dec 31, 2013 | 21.61 Mn |
| Sep 30, 2013 | 44.39 Mn |
| Jun 30, 2013 | 23.65 Mn |
| Mar 31, 2013 | 28.98 Mn |
| Dec 31, 2012 | 27.01 Mn |
| Sep 30, 2012 | 32.85 Mn |
API Access
Geospace Technologies Finished Goods 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=finished-goods&ticker=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();