Bowhead Specialty Holdings (BOW) Accumulated Expenses (2023 - 2026)
Bowhead Specialty Holdings (BOW) posted Accumulated Expenses of $11.6 million for Q2 2026, up 10.7% from $10.48 million a year earlier and up 4.7% from the prior quarter.
Bowhead Specialty Holdings (BOW) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Bowhead Specialty Holdings' Accumulated Expenses came in at $19.05 million, up 5.8% from FY2024.
- In prior years, Bowhead Specialty Holdings' Accumulated Expenses was $18.01 million in FY2024 (+20.9%) and $14.9 million in FY2023.
- Quarterly Accumulated Expenses has run from a low of $5.78 million in Q1 2025 to a high of $19.05 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 20.0% over the last six quarters.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $11.09 million (Q1 2026), $19.05 million (Q4 2025) and $14.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Chubb | 140.17 Bn | 86.75 Bn | 9.13 Bn |
| 2 | Progressive | 132.06 Bn | 107.89 Bn | 9.04 Bn |
| 3 | Marsh & Mclennan Companies | 92.93 Bn | 85.09 Bn | - |
| 4 | Travelers Companies | 85.30 Bn | 61.54 Bn | 6.23 Bn |
| 5 | Manulife Financial | 77.20 Bn | -17.69 Bn | - |
| 6 | Arthur J. Gallagher | 68.65 Bn | 63.06 Bn | - |
| 7 | Allstate | 65.46 Bn | 26.73 Bn | 8.73 Bn |
| 8 | Metlife | 65.44 Bn | -41.34 Bn | 7.82 Bn |
| 9 | Aon | 64.82 Bn | 58.04 Bn | - |
| 10 | Bowhead Specialty Holdings | 1.12 Bn | 488.46 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.60 Mn |
| Mar 31, 2026 | 11.09 Mn |
| Dec 31, 2025 | 19.05 Mn |
| Sep 30, 2025 | 14.38 Mn |
| Jun 30, 2025 | 10.48 Mn |
| Mar 31, 2025 | 5.78 Mn |
| Dec 31, 2024 | 18.01 Mn |
| Sep 30, 2024 | 14.70 Mn |
| Jun 30, 2024 | 11.29 Mn |
| Dec 31, 2023 | 14.90 Mn |
Bowhead Specialty Holdings 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=BOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BOW", "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=BOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();