Tiptree (TIPT) Exchange Rate Effect (2022 - 2026)
Tiptree (TIPT) reported Exchange Rate Effect of $2.01 million for Q2 2026, down 55.4% from $4.51 million a year earlier.
Tiptree (TIPT) Exchange Rate Effect (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tiptree's Exchange Rate Effect came in at $5.18 million, down 18.5% year-over-year; for FY2024, it came in at -$355,000.
- By year, Exchange Rate Effect came in at $1.53 million in FY2023 and -$1.83 million in FY2022.
- Five-year quarterly Exchange Rate Effect spans a low of -$5.54 million in Q4 2024 and a high of $5.6 million in Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -46.00 Mn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | -14.00 Mn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -2.00 Mn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 253.02 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | -50.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | -57.00 Mn |
| 10 | Tiptree | 640.98 Mn | -1.09 Bn | - | 2.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 182,000.00 |
| Sep 30, 2025 | -1.53 Mn |
| Jun 30, 2025 | 4.51 Mn |
| Mar 31, 2025 | 1.79 Mn |
| Dec 31, 2024 | -5.54 Mn |
| Sep 30, 2024 | 5.60 Mn |
| Jun 30, 2024 | 342,000.00 |
| Mar 31, 2024 | -754,000.00 |
| Dec 31, 2023 | 3.46 Mn |
| Sep 30, 2023 | -4.44 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.26 Mn |
| Dec 31, 2022 | 5.01 Mn |
| Sep 30, 2022 | -3.64 Mn |
| Jun 30, 2022 | -3.19 Mn |
Tiptree Exchange Rate Effect 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=exchange-rate-effect&ticker=TIPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=TIPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();