Mgt Capital Investments, Inc. (MGTI) Accumulated Expenses (2010 - 2018)
Mgt Capital Investments' Accumulated Expenses came in at $7,000 for Q4 2018, down 99.0% from $707,000 a year earlier and down 96.5% from the prior quarter.
Mgt Capital Investments, Inc. (MGTI) Accumulated Expenses (2010 - 2018) Analysis & Trends
Going back to Q4 2010, Mgt Capital Investments' Accumulated Expenses data covers 31 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -40.5% (FY2013 to FY2018).
- Going back by year, Accumulated Expenses was $707,000 in FY2017 (+470.2%), $124,000 in FY2016 (+726.7%), $15,000 in FY2015 (-91.7%) and $180,000 in FY2014 (+91.5%).
- The Q4 2018 figure represents the lowest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Accumulated Expenses increased in four of the last six quarters, with growth averaging 261.7%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2018 (growth of 849.5%), and the weakest in Q4 2018 (a decline of 99.0%).
- Business Quant data shows MGTI's Accumulated Expenses at $198,000 (Q3 2018), $2.09 million (Q2 2018) and $577,000 (Q1 2018) in the three quarters before Q4 2018.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 7,000.00 |
| Sep 30, 2018 | 198,000.00 |
| Jun 30, 2018 | 2.09 Mn |
| Mar 31, 2018 | 577,000.00 |
| Dec 31, 2017 | 707,000.00 |
| Sep 30, 2017 | 323,000.00 |
| Jun 30, 2017 | 220,000.00 |
| Mar 31, 2017 | 196,000.00 |
| Dec 31, 2016 | 124,000.00 |
| Sep 30, 2016 | 110,000.00 |
| Jun 30, 2016 | 16,000.00 |
| Dec 31, 2015 | 15,000.00 |
| Sep 30, 2015 | 189,000.00 |
| Jun 30, 2015 | 152,000.00 |
| Mar 31, 2015 | 312,000.00 |
| Dec 31, 2014 | 180,000.00 |
| Sep 30, 2014 | 133,000.00 |
| Jun 30, 2014 | 86,000.00 |
| Mar 31, 2014 | 134,000.00 |
| Dec 31, 2013 | 94,000.00 |
Mgt Capital Investments, 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=MGTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MGTI", "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=MGTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();