Tiptree (TIPT) Non Operating Interest Expenses (2011 - 2024)
Tiptree's Non Operating Interest Expenses was $8.29 million in Q1 2024, up 28.2% from $6.47 million a year earlier and up 11.0% from the prior quarter.
Tiptree (TIPT) Non Operating Interest Expenses (2011 - 2024) Analysis & Trends
On a trailing twelve-month basis, Tiptree's Non Operating Interest Expenses was $29.52 million through Mar 31, 2024, up 11.4% year-over-year; for FY2023, it came in at $27.69 million, down 8.4% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 0.5% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $30.24 million in FY2022 (-19.7%), $37.67 million in FY2021 (+15.6%), $32.58 million in FY2020 (+20.4%) and $27.06 million in FY2019 (+0.2%).
- The Q1 2024 figure marks the highest quarterly Non Operating Interest Expenses since Q2 2022.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters, with an average decline of 7.0% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2023 (growth of 38.2%); the worst was Q4 2022 (a decline of 49.9%).
- Per Business Quant data, TIPT's Non Operating Interest Expenses in the three quarters before Q1 2024 was $7.47 million (Q4 2023), $6.72 million (Q3 2023) and $7.04 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 168.00 Mn |
| 10 | Tiptree | 633.15 Mn | -1.10 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 8.29 Mn |
| Dec 31, 2023 | 7.47 Mn |
| Sep 30, 2023 | 6.72 Mn |
| Jun 30, 2023 | 7.04 Mn |
| Mar 31, 2023 | 6.47 Mn |
| Dec 31, 2022 | 5.40 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 9.14 Mn |
| Mar 31, 2022 | 10.20 Mn |
| Dec 31, 2021 | 10.78 Mn |
| Sep 30, 2021 | 8.66 Mn |
| Jun 30, 2021 | 8.98 Mn |
| Mar 31, 2021 | 9.25 Mn |
| Dec 31, 2020 | 9.06 Mn |
| Sep 30, 2020 | 8.32 Mn |
| Jun 30, 2020 | 7.65 Mn |
| Mar 31, 2020 | 7.55 Mn |
| Dec 31, 2019 | 6.88 Mn |
| Sep 30, 2019 | 6.73 Mn |
| Jun 30, 2019 | 6.53 Mn |
Tiptree Non Operating Interest 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=non-operating-interest-expenses&ticker=TIPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=TIPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();