Tiptree (TIPT) Operating Expenses (2011 - 2026)
Tiptree (TIPT) recorded Operating Expenses of $9.05 million in Q2 2026, down 24.3% from $11.96 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Tiptree (TIPT) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Tiptree's Operating Expenses came in at $532.04 million as of Jun 30, 2026; for FY2024, it came in at $38.98 million, down 3.5% from FY2023.
- Annual Operating Expenses has a five-year compound annual growth rate of -44.5% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $40.38 million in FY2023 (-97.0%), $1.34 billion in FY2022 (+18.4%), $1.14 billion in FY2021 (+33.7%) and $849.15 million in FY2020 (+14.2%).
- Quarterly Operating Expenses has ranged from -$1.39 billion in Q4 2024 to $506.03 million in Q2 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with an average decline of 37.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 34.7% in Q3 2021, against a decline of 97.6% in Q2 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 3.59 Bn |
| 10 | Tiptree | 640.98 Mn | -1.09 Bn | - | 9.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.05 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Sep 30, 2025 | 502.03 Mn |
| Jun 30, 2025 | 11.96 Mn |
| Mar 31, 2025 | 12.97 Mn |
| Dec 31, 2024 | -1.39 Bn |
| Sep 30, 2024 | 457.58 Mn |
| Jun 30, 2024 | 506.03 Mn |
| Mar 31, 2024 | 468.52 Mn |
| Dec 31, 2023 | -1.11 Bn |
| Sep 30, 2023 | 395.37 Mn |
| Jun 30, 2023 | 380.84 Mn |
| Mar 31, 2023 | 373.45 Mn |
| Dec 31, 2022 | 344.50 Mn |
| Sep 30, 2022 | 338.35 Mn |
| Jun 30, 2022 | 335.04 Mn |
| Mar 31, 2022 | 325.86 Mn |
| Dec 31, 2021 | 308.64 Mn |
| Sep 30, 2021 | 283.02 Mn |
| Jun 30, 2021 | 288.21 Mn |
API Access
Tiptree Operating 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=operating-expenses&ticker=TIPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=TIPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();