Seven Hills Realty Trust (SEVN) Professional Fees (2020)
Seven Hills Realty Trust (SEVN) reported Professional Fees of $89,000 for Q4 2020, down 9.2% from the prior quarter.
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Analysis
Seven Hills Realty Trust (SEVN) Professional Fees (2020) Analysis & Trends
For FY2020, Seven Hills Realty Trust posted Professional Fees of $362,000.
- Five-year quarterly Professional Fees spans a low of $37,000 in Q1 2020 and a high of $138,000 in Q2 2020.
- Per Business Quant data, the three quarters before Q4 2020 came in at $98,000 (Q3 2020), $138,000 (Q2 2020) and $37,000 (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 300.00 Mn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | - |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | - |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 234.00 Mn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | -200,000.00 |
| 10 | Seven Hills Realty Trust | 153.88 Mn | -147.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 89,000.00 |
| Sep 30, 2020 | 98,000.00 |
| Jun 30, 2020 | 138,000.00 |
| Mar 31, 2020 | 37,000.00 |
API Access
Seven Hills Realty Trust Professional Fees 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=professional-fees&ticker=SEVN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "SEVN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=SEVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();