Ready Capital (RC) Occupancy Expense (2015 - 2019)
Ready Capital (RC) recorded Occupancy Expense of $968,000 in Q3 2019, up 34.4% from $720,000 a year earlier but down 12.2% from the prior quarter.
Ready Capital (RC) Occupancy Expense (2015 - 2019) Analysis & Trends
On a TTM basis, Ready Capital's Occupancy Expense came in at $1.48 million as of Sep 30, 2019, down 39.4% year-over-year; for FY2018, it was $522,000, down 77.4% from FY2017.
- Annual Occupancy Expense has a four-year compound annual growth rate of 10.2% (FY2014 to FY2018).
- Across earlier years, Occupancy Expense came in at $2.31 million in FY2017 (+59.7%), $1.45 million in FY2016 (+45.5%), $996,000 in FY2015 (+181.4%) and $354,000 in FY2014.
- Quarterly Occupancy Expense has ranged from -$9.34 million in Q4 2015 to $3.95 million in Q2 2015 over the past five years.
- On a year-over-year basis, Occupancy Expense has increased for three consecutive quarters, with growth averaging 29.9% over the last seven quarters.
- Peak year-over-year performance for Occupancy Expense in the last five years was growth of 103.2% in Q2 2017, against a decline of 93.0% in Q2 2016 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.1 million (Q2 2019), $691,000 (Q1 2019) and -$1.28 million (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - |
| 10 | Ready Capital | 135.44 Mn | -449.48 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 968,000.00 |
| Jun 30, 2019 | 1.10 Mn |
| Mar 31, 2019 | 691,000.00 |
| Dec 31, 2018 | -1.28 Mn |
| Sep 30, 2018 | 720,000.00 |
| Jun 30, 2018 | 563,000.00 |
| Mar 31, 2018 | 522,000.00 |
| Dec 31, 2017 | 638,000.00 |
| Sep 30, 2017 | 554,000.00 |
| Jun 30, 2017 | 563,000.00 |
| Mar 31, 2017 | 559,000.00 |
| Dec 31, 2016 | 518,000.00 |
| Sep 30, 2016 | 317,000.00 |
| Jun 30, 2016 | 277,000.00 |
| Mar 31, 2016 | 338,000.00 |
| Dec 31, 2015 | -9.34 Mn |
| Sep 30, 2015 | 3.46 Mn |
| Jun 30, 2015 | 3.95 Mn |
| Mar 31, 2015 | 2.92 Mn |
Ready Capital Occupancy Expense 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=occupancy-expense&ticker=RC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "RC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=RC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();