Geospace Technologies (GEOS) Raw Materials (2012 - 2017)
Geospace Technologies (GEOS) posted Raw Materials of $70.44 million for fiscal Q3 2017 (quarter ended Jun 30, 2017), down 5.7% from $74.69 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Geospace Technologies (GEOS) Raw Materials (2012 - 2017) Analysis & Trends
At the end of FY2016 (ended Sep 30, 2016), Geospace Technologies' Raw Materials came in at $65.68 million, down 7.2% from FY2015.
- Annual Raw Materials has declined for three consecutive fiscal years, though with a four-year compound annual growth rate of 12.6% (FY2012 to FY2016).
- In prior fiscal years, Geospace Technologies' Raw Materials was $70.77 million in FY2015 (-14.3%), $82.6 million in FY2014 (-5.0%), $86.93 million in FY2013 (+113.1%) and $40.79 million in FY2012.
- Quarterly Raw Materials has run from a low of $40.79 million in fiscal Q4 2012 to a high of $96.36 million in fiscal Q2 2014 over five years.
- On a year-over-year basis, Raw Materials increased in 1 of the last eight quarters, with an average decline of 6.7%.
- The strongest year-over-year quarter for Raw Materials in the past five years was fiscal Q4 2013, with growth of 113.1%; the weakest was fiscal Q2 2015, with a decline of 19.9%.
- According to Business Quant data, Raw Materials for the three prior fiscal quarters was $71.65 million (Q2 2017), $73.15 million (Q1 2017) and $65.68 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 | 70.44 Mn |
| Mar 31, 2017 | 71.65 Mn |
| Dec 31, 2016 | 73.15 Mn |
| Sep 30, 2016 | 65.68 Mn |
| Jun 30, 2016 | 74.69 Mn |
| Mar 31, 2016 | 74.38 Mn |
| Dec 31, 2015 | 72.80 Mn |
| Sep 30, 2015 | 70.77 Mn |
| Jun 30, 2015 | 77.79 Mn |
| Mar 31, 2015 | 77.15 Mn |
| Dec 31, 2014 | 86.11 Mn |
| Sep 30, 2014 | 82.60 Mn |
| Jun 30, 2014 | 85.85 Mn |
| Mar 31, 2014 | 96.36 Mn |
| Dec 31, 2013 | 90.84 Mn |
| Sep 30, 2013 | 86.93 Mn |
| Jun 30, 2013 | 86.22 Mn |
| Mar 31, 2013 | 62.76 Mn |
| Dec 31, 2012 | 54.57 Mn |
| Sep 30, 2012 | 40.79 Mn |
API Access
Geospace Technologies Raw Materials 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=raw-materials&ticker=GEOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=GEOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();