Tiptree (TIPT) Operating Margin (2014 - 2025)
Tiptree (TIPT) recorded Operating Margin of -28.53% in Q3 2025, down 0.38 percentage points from -28.15% a year earlier but up 12873.65 percentage points from the prior quarter.
Powered by 
Analysis
Tiptree (TIPT) Operating Margin (2014 - 2025) Analysis & Trends
For FY2015, Tiptree reported Operating Margin of -13.40%, up 13.85 percentage points from FY2014.
- Across earlier years, Operating Margin came in at -27.26% in FY2014 (+25.80 pp) and -53.06% in FY2013.
- Quarterly Operating Margin has ranged from -12902.17% in Q2 2025 to -28.15% in Q3 2024 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | -53.77% |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 21.55% |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | - |
| 10 | Tiptree | 640.98 Mn | -1.09 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -28.53% |
| Jun 30, 2025 | -12,902.17% |
| Mar 31, 2025 | -3,226.15% |
| Sep 30, 2024 | -28.15% |
| Sep 30, 2016 | -10.24% |
| Jun 30, 2016 | -8.47% |
| Mar 31, 2016 | -8.75% |
| Dec 31, 2015 | -11.11% |
| Sep 30, 2015 | -12.71% |
| Jun 30, 2015 | -14.45% |
| Mar 31, 2015 | -20.21% |
| Dec 31, 2014 | -37.30% |
| Sep 30, 2014 | 10.50% |
| Jun 30, 2014 | -65.51% |
| Mar 31, 2014 | -27.45% |
API Access
Tiptree Operating 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=operating-margin&ticker=TIPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=TIPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();