FrankSpeech Network, Inc. (MLMC) Selling, General & Administrative (2015 - 2017)
FrankSpeech Network (MLMC) posted Selling, General & Administrative of $211,082 for Q4 2017, down 75.7% from $867,309 a year earlier but up 195.5% from the prior quarter.
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Analysis
FrankSpeech Network, Inc. (MLMC) Selling, General & Administrative (2015 - 2017) Analysis & Trends
For FY2017, FrankSpeech Network's Selling, General & Administrative came in at $2.54 million, down 88.8% from FY2016.
- Annual Selling, General & Administrative shows a three-year compound annual growth rate of 788.1% (FY2014 to FY2017).
- In prior years, FrankSpeech Network's Selling, General & Administrative was $22.62 million in FY2016 (+738.4%), $2.7 million in FY2015 and $3,629 in FY2014.
- Quarterly Selling, General & Administrative has run from a low of $12,637 in Q1 2015 to a high of $16.07 million in Q3 2016 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in two of the last six quarters, with an average decline of 7.9%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $71,434 (Q3 2017), $265,949 (Q2 2017) and $1.99 million (Q1 2017).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 211,082.00 |
| Sep 30, 2017 | 71,434.00 |
| Jun 30, 2017 | 265,949.00 |
| Mar 31, 2017 | 1.99 Mn |
| Dec 31, 2016 | 867,309.00 |
| Sep 30, 2016 | 16.07 Mn |
| Jun 30, 2016 | 148,850.00 |
| Mar 31, 2016 | 5.53 Mn |
| Dec 31, 2015 | 1.95 Mn |
| Sep 30, 2015 | 681,679.00 |
| Jun 30, 2015 | 55,392.00 |
| Mar 31, 2015 | 12,637.00 |
API Access
FrankSpeech Network, Inc. Selling, General & Administrative 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=selling-general-and-administrative&ticker=MLMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MLMC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MLMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();