Forum Energy Technologies (FET) Long-Term Investments (2013 - 2019)
Forum Energy Technologies (FET) posted Long-Term Investments of $44.54 million for Q2 2019, up 8.2% from $41.15 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Forum Energy Technologies (FET) Long-Term Investments (2013 - 2019) Analysis & Trends
At the end of FY2018, Forum Energy Technologies' Long-Term Investments came in at $44.98 million.
- Annual Long-Term Investments shows a five-year compound annual growth rate of -5.7% (FY2013 to FY2018).
- In prior years, Forum Energy Technologies' Long-Term Investments was $59.14 million in FY2016 (+2.5%), $57.72 million in FY2015 (+16.2%) and $49.68 million in FY2014 (-17.6%).
- Quarterly Long-Term Investments has run from a low of $41.15 million in Q2 2018 to a high of $64.5 million in Q3 2017 over five years.
- On a year-over-year basis, Long-Term Investments increased in three of the last six quarters, with an average decline of 12.8%.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2015, with growth of 16.2%; the weakest was Q3 2018, with a decline of 35.9%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $45.12 million (Q1 2019), $44.98 million (Q4 2018) and $41.35 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 1.69 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 242.60 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 159.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 139.20 Mn |
| 10 | Forum Energy Technologies | 910.50 Mn | 772.94 Mn | 71.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 44.54 Mn |
| Mar 31, 2019 | 45.12 Mn |
| Dec 31, 2018 | 44.98 Mn |
| Sep 30, 2018 | 41.35 Mn |
| Jun 30, 2018 | 41.15 Mn |
| Mar 31, 2018 | 43.09 Mn |
| Sep 30, 2017 | 64.50 Mn |
| Jun 30, 2017 | 62.51 Mn |
| Mar 31, 2017 | 61.64 Mn |
| Dec 31, 2016 | 59.14 Mn |
| Sep 30, 2016 | 58.52 Mn |
| Jun 30, 2016 | 58.11 Mn |
| Mar 31, 2016 | 58.30 Mn |
| Dec 31, 2015 | 57.72 Mn |
| Sep 30, 2015 | 56.46 Mn |
| Jun 30, 2015 | 55.31 Mn |
| Mar 31, 2015 | 54.25 Mn |
| Dec 31, 2014 | 49.68 Mn |
| Sep 30, 2014 | 57.20 Mn |
| Jun 30, 2014 | 58.12 Mn |
API Access
Forum Energy Technologies Long-Term Investments 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=long-term-investments&ticker=FET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "FET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();