Twfg (TWFG) Other Accumulated Expenses (2023 - 2026)
Twfg (TWFG) posted Other Accumulated Expenses of $13.03 million for Q2 2026, up 49.8% from $8.7 million a year earlier and up 26.7% from the prior quarter.
Twfg (TWFG) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Twfg's Other Accumulated Expenses came in at $10.31 million, up 4.6% from FY2024.
- In prior years, Twfg's Other Accumulated Expenses was $9.85 million in FY2024 (+96.8%) and $5.01 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last five quarters, with growth averaging 43.7% over the last six quarters.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $10.28 million (Q1 2026), $10.31 million (Q4 2025) and $9.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Twfg | 1.33 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.03 Mn |
| Mar 31, 2026 | 10.28 Mn |
| Dec 31, 2025 | 10.31 Mn |
| Sep 30, 2025 | 9.31 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 6.84 Mn |
| Dec 31, 2024 | 9.85 Mn |
| Sep 30, 2024 | 6.91 Mn |
| Jun 30, 2024 | 6.91 Mn |
| Dec 31, 2023 | 5.01 Mn |
Twfg 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=TWFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "TWFG", "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=TWFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();