Baldwin Insurance (BWIN) Other Accumulated Expenses (2018 - 2019)
Baldwin Insurance's (BWIN) quarterly Other Accumulated Expenses came in at $204738.0 in Q3 2019, down 80.17% quarter-over-quarter from $1.0 million in Q4 2018.
Baldwin Insurance (BWIN) Other Accumulated Expenses (2018 - 2019) Analysis & Trends
Baldwin Insurance (BWIN) has reported Other Accumulated Expenses for 2 consecutive years, with $204738.0 the latest figure, recorded in Q3 2019.
- On a quarterly basis, Other Accumulated Expenses changed N/A year-over-year to $204738.0 in Q3 2019; TTM through Sep 2019 was $204738.0, a N/A change from a year earlier, with the FY2018 full-year figure at $1.0 million, changed N/A from the prior year.
- Other Accumulated Expenses was $204738.0 for Q3 2019 at Baldwin Insurance, down from $1.0 million in the prior quarter.
- Over five years, Other Accumulated Expenses peaked at $1.0 million in Q4 2018 and troughed at $204738.0 in Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn |
| 10 | Baldwin Insurance | 4.45 Bn | 4.81 Bn | - |
Baldwin Insurance Other 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=other-accumulated-expenses&ticker=BWIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BWIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=BWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();