Baldwin Insurance Group, Inc. (BWIN) Accumulated Expenses (2018 - 2026)
Baldwin Insurance (BWIN) reported Accumulated Expenses of $51.22 million for Q2 2026, up 107.9% from $24.63 million a year earlier but down 13.3% from the prior quarter.
Baldwin Insurance Group, Inc. (BWIN) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Baldwin Insurance posted Accumulated Expenses of $57.4 million, up 364.7% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $12.35 million in FY2024 (-46.9%), $23.27 million in FY2023 (+77.7%), $13.1 million in FY2022 (+34.6%) and $9.73 million in FY2021 (-25.3%).
- Five-year quarterly Accumulated Expenses spans a low of $9.73 million in Q4 2021 and a high of $59.07 million in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last six quarters, with growth averaging 115.6% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2025 (growth of 364.7%); the low point was Q4 2024 (a decline of 46.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $59.07 million (Q1 2026), $57.4 million (Q4 2025) and $29.47 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.22 Mn |
| Mar 31, 2026 | 59.07 Mn |
| Dec 31, 2025 | 57.40 Mn |
| Sep 30, 2025 | 29.47 Mn |
| Jun 30, 2025 | 24.63 Mn |
| Mar 31, 2025 | 20.55 Mn |
| Dec 31, 2024 | 12.35 Mn |
| Sep 30, 2024 | 9.99 Mn |
| Jun 30, 2024 | 13.58 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 23.27 Mn |
| Sep 30, 2023 | 13.07 Mn |
| Jun 30, 2023 | 11.07 Mn |
| Mar 31, 2023 | 11.03 Mn |
| Dec 31, 2022 | 13.10 Mn |
| Sep 30, 2022 | 11.86 Mn |
| Jun 30, 2022 | 10.94 Mn |
| Mar 31, 2022 | 13.31 Mn |
| Dec 31, 2021 | 9.73 Mn |
| Dec 31, 2020 | 13.03 Mn |
Baldwin Insurance Group, Inc. 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=BWIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=BWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();