FG Nexus Inc. (FGC) Accumulated Expenses (2013 - 2019)
FG Nexus (FGC) posted Accumulated Expenses of $3.3 million for Q1 2019, down 10.7% from $3.7 million a year earlier but up 19.6% from the prior quarter.
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Analysis
FG Nexus Inc. (FGC) Accumulated Expenses (2013 - 2019) Analysis & Trends
At the end of FY2018, FG Nexus' Accumulated Expenses came in at $2.76 million, up 74.2% from FY2017.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 29.7% (FY2013 to FY2018).
- In prior years, FG Nexus' Accumulated Expenses was $1.58 million in FY2017 (-23.3%), $2.07 million in FY2016 (+10.8%), $1.86 million in FY2015 (+19.7%) and $1.56 million in FY2014 (+106.8%).
- Quarterly Accumulated Expenses has run from a low of $1.25 million in Q2 2014 to a high of $5.8 million in Q3 2018 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 49.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2017, with growth of 152.1%; the weakest was Q4 2017, with a decline of 23.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.76 million (Q4 2018), $5.8 million (Q3 2018) and $4.91 million (Q2 2018).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 3.30 Mn |
| Dec 31, 2018 | 2.76 Mn |
| Sep 30, 2018 | 5.80 Mn |
| Jun 30, 2018 | 4.91 Mn |
| Mar 31, 2018 | 3.70 Mn |
| Dec 31, 2017 | 1.58 Mn |
| Sep 30, 2017 | 4.48 Mn |
| Jun 30, 2017 | 3.45 Mn |
| Mar 31, 2017 | 2.03 Mn |
| Dec 31, 2016 | 2.07 Mn |
| Sep 30, 2016 | 1.78 Mn |
| Jun 30, 2016 | 2.28 Mn |
| Mar 31, 2016 | 1.57 Mn |
| Dec 31, 2015 | 1.86 Mn |
| Sep 30, 2015 | 1.83 Mn |
| Jun 30, 2015 | 2.06 Mn |
| Mar 31, 2015 | 1.88 Mn |
| Dec 31, 2014 | 1.56 Mn |
| Sep 30, 2014 | 1.51 Mn |
| Jun 30, 2014 | 1.25 Mn |
API Access
FG Nexus Inc. Accumulated Expenses 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=accumulated-expenses&ticker=FGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();