Atlanticus Holdings (ATLC) Provision for Losses (2012 - 2018)
Atlanticus Holdings' Provision for Losses was $16.48 million in Q2 2018, up 4.6% from $15.74 million a year earlier and up 3.0% from the prior quarter.
Atlanticus Holdings (ATLC) Provision for Losses (2012 - 2018) Analysis & Trends
On a trailing twelve-month basis, Atlanticus Holdings' Provision for Losses was $83.68 million through Jun 30, 2018, up 29.6% year-over-year; for FY2017, it came in at $77.61 million, up 44.5% from FY2016.
- Provision for Losses shows a five-year compound annual growth rate of 35.9% (FY2012 to FY2017).
- In earlier years, Provision for Losses was $53.72 million in FY2016 (+101.9%), $26.61 million in FY2015 (-13.7%), $30.83 million in FY2014 (+3.9%) and $29.68 million in FY2013 (+77.0%).
- Quarterly Provision for Losses has moved between $3.17 million (Q1 2015) and $27.13 million (Q4 2017) over five years.
- Compared with a year earlier, Provision for Losses has increased for 12 straight quarters, with growth averaging 66.5% over the last eight quarters.
- The best year-over-year quarter for Provision for Losses over five years was Q4 2013 (growth of 207.4%); the worst was Q1 2015 (a decline of 59.8%).
- Per Business Quant data, ATLC's Provision for Losses in the three quarters before Q2 2018 was $15.99 million (Q1 2018), $27.13 million (Q4 2017) and $24.09 million (Q3 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 42.92 Bn | 31.73 Bn | - | - |
| 2 | Orix | 38.72 Bn | 7.44 Bn | 12.74 Bn | - |
| 3 | Royalty Pharma | 30.52 Bn | 27.90 Bn | - | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | 26.46 Bn | - | - |
| 5 | Royal Gold | 23.70 Bn | 22.88 Bn | 390.45 Mn | - |
| 6 | Synchrony Financial | 23.44 Bn | -44.18 Bn | - | 1.27 Bn |
| 7 | Affirm Holdings | 23.32 Bn | 16.36 Bn | - | 259.36 Mn |
| 8 | Annaly Capital Management | 14.45 Bn | 5.41 Bn | - | - |
| 9 | Ares Capital | 13.87 Bn | 11.62 Bn | - | - |
| 10 | Atlanticus Holdings | 1.23 Bn | -1.20 Bn | 717.78 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 16.48 Mn |
| Mar 31, 2018 | 15.99 Mn |
| Dec 31, 2017 | 27.13 Mn |
| Sep 30, 2017 | 24.09 Mn |
| Jun 30, 2017 | 15.74 Mn |
| Mar 31, 2017 | 10.65 Mn |
| Dec 31, 2016 | 20.71 Mn |
| Sep 30, 2016 | 17.47 Mn |
| Jun 30, 2016 | 10.81 Mn |
| Mar 31, 2016 | 4.73 Mn |
| Dec 31, 2015 | 8.60 Mn |
| Sep 30, 2015 | 8.88 Mn |
| Jun 30, 2015 | 5.96 Mn |
| Mar 31, 2015 | 3.17 Mn |
| Dec 31, 2014 | 8.10 Mn |
| Sep 30, 2014 | 8.12 Mn |
| Jun 30, 2014 | 6.73 Mn |
| Mar 31, 2014 | 7.88 Mn |
| Dec 31, 2013 | 9.05 Mn |
| Sep 30, 2013 | 10.68 Mn |
Atlanticus Holdings Provision for Losses 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=provision-for-losses&ticker=ATLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "ATLC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=ATLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();