UP Fintech Holding (TIGR) Cash & Equivalents (2018 - 2026)
UP Fintech Holding (TIGR) recorded Cash & Equivalents of $542.51 million in Q2 2026, up 6.0% from $511.94 million a year earlier but down 9.0% from the prior quarter.
UP Fintech Holding (TIGR) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, UP Fintech Holding reported Cash & Equivalents of $791.02 million, up 101.0% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $393.58 million in FY2024 (-79.9%), $1.96 billion in FY2023 (+604.4%), $277.66 million in FY2022 (-83.7%) and $1.7 billion in FY2021 (+79.5%).
- Quarterly Cash & Equivalents has ranged from $257.4 million in Q3 2022 to $1.89 billion in Q2 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 42.9% over the last seven quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 475.9% in Q2 2023, against a decline of 79.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $595.97 million (Q1 2026), $791.02 million (Q4 2025) and $578.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 102.58 Bn | 83.68 Bn | - | 5.36 Bn |
| 2 | Bank of New York Mellon | 97.58 Bn | 36.95 Bn | - | - |
| 3 | Cme | 97.02 Bn | 97.02 Bn | - | 2.14 Bn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 1.07 Bn |
| 5 | Nasdaq | 51.81 Bn | 49.24 Bn | 1.50 Bn | 520.00 Mn |
| 6 | State Street | 48.44 Bn | 48.44 Bn | - | - |
| 7 | Interactive Brokers | 40.12 Bn | 33.58 Bn | - | 7.71 Bn |
| 8 | Northern Trust | 31.23 Bn | 31.23 Bn | - | - |
| 9 | Cboe Global Markets | 29.16 Bn | 20.81 Bn | 731.60 Mn | 2.28 Bn |
| 10 | UP Fintech Holding | 11.67 Bn | 11.67 Bn | - | 542.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 542.51 Mn |
| Mar 31, 2026 | 595.97 Mn |
| Dec 31, 2025 | 791.02 Mn |
| Sep 30, 2025 | 578.66 Mn |
| Jun 30, 2025 | 511.94 Mn |
| Mar 31, 2025 | 403.89 Mn |
| Dec 31, 2024 | 393.58 Mn |
| Sep 30, 2024 | 429.95 Mn |
| Jun 30, 2024 | 392.53 Mn |
| Dec 31, 2023 | 322.60 Mn |
| Sep 30, 2023 | 270.26 Mn |
| Jun 30, 2023 | 1.89 Bn |
| Dec 31, 2022 | 277.66 Mn |
| Sep 30, 2022 | 257.40 Mn |
| Jun 30, 2022 | 327.78 Mn |
| Mar 31, 2022 | 349.81 Mn |
| Dec 31, 2021 | 269.06 Mn |
| Sep 30, 2021 | 315.39 Mn |
| Jun 30, 2021 | 310.35 Mn |
| Mar 31, 2021 | 174.70 Mn |
UP Fintech Holding Cash & Equivalents 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=cash-and-equivalents&ticker=TIGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "TIGR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=TIGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();