Tiptree (TIPT) Gross Margin (2014 - 2025)
Tiptree (TIPT) posted Gross Margin of 64.39% for Q3 2025, down 0.02 percentage points from 64.41% a year earlier.
Tiptree (TIPT) Gross Margin (2014 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Gross Margin at Tiptree was 82.65%, up 51.72 percentage points year-over-year; for FY2015, it came in at 85.58%, down 10.49 percentage points from FY2014.
- In prior years, Tiptree's Gross Margin was 96.07% in FY2014 (-3.93 pp) and 100.00% in FY2013.
- The Q3 2025 figure stands as the lowest quarterly Gross Margin in data going back to Q1 2014.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 54.87% |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 57.69% |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 38.28% |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 51.27% |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 40.82% |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Tiptree | 633.15 Mn | -1.10 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 64.39% |
| Sep 30, 2024 | 64.41% |
| Sep 30, 2016 | 82.90% |
| Jun 30, 2016 | 85.33% |
| Mar 31, 2016 | 84.64% |
| Dec 31, 2015 | 87.32% |
| Sep 30, 2015 | 87.58% |
| Jun 30, 2015 | 87.19% |
| Mar 31, 2015 | 86.02% |
| Dec 31, 2014 | 92.01% |
| Sep 30, 2014 | 100.00% |
| Jun 30, 2014 | 100.00% |
| Mar 31, 2014 | 100.00% |
Tiptree Gross Margin 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=gross-margin&ticker=TIPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "TIPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=TIPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();