Sachem Capital (SACH) Accumulated Expenses (2015 - 2022)
Sachem Capital (SACH) posted Accumulated Expenses of $314,870 for Q1 2017, up 60.6% from the prior quarter.
Analysis
Sachem Capital (SACH) Accumulated Expenses (2015 - 2022) Analysis & Trends
At the end of FY2016, Sachem Capital's Accumulated Expenses came in at $196,086.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - |
| 10 | Sachem Capital | 38.84 Mn | -27.60 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 466,224.00 |
| Mar 31, 2022 | 286,642.00 |
| Dec 31, 2021 | 164,729.00 |
| Jun 30, 2021 | 18,299.00 |
| Dec 31, 2020 | 3.34 Mn |
| Sep 30, 2020 | 80,672.00 |
| Jun 30, 2020 | 3.27 Mn |
| Mar 31, 2020 | 3.40 Mn |
| Dec 31, 2019 | 3.42 Mn |
| Sep 30, 2019 | 3.32 Mn |
| Mar 31, 2019 | 196,120.00 |
| Dec 31, 2018 | 176,619.00 |
| Sep 30, 2018 | 157,720.00 |
| Jun 30, 2018 | 125,253.00 |
| Dec 31, 2017 | 40,592.00 |
| Sep 30, 2017 | 77,908.00 |
| Jun 30, 2017 | 227,324.00 |
| Mar 31, 2017 | 314,870.00 |
| Dec 31, 2016 | 196,086.00 |
| Dec 31, 2015 | 37,829.00 |
API Access
Sachem Capital 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=SACH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SACH", "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=SACH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();