Green Dot (GDOT) Cash & Equivalents (2010 - 2026)
Green Dot (GDOT) posted Cash & Equivalents of $1.14 billion for Q2 2026, down 50.6% from $2.31 billion a year earlier and down 30.6% from the prior quarter.
Green Dot (GDOT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Green Dot's Cash & Equivalents came in at $1.42 billion, down 10.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Green Dot's Cash & Equivalents was $1.59 billion in FY2024 (+133.4%), $682.26 million in FY2023 (-16.2%), $813.95 million in FY2022 (-38.4%) and $1.32 billion in FY2021 (-11.4%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q1 2024.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with growth averaging 39.5% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2024, with growth of 133.4%; the weakest was Q2 2022, with a decline of 58.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.65 billion (Q1 2026), $1.42 billion (Q4 2025) and $1.64 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Green Dot | 702.63 Mn | -5.15 Bn | - | 1.14 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.65 Bn |
| Dec 31, 2025 | 1.42 Bn |
| Sep 30, 2025 | 1.64 Bn |
| Jun 30, 2025 | 2.31 Bn |
| Mar 31, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.59 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 1.32 Bn |
| Mar 31, 2024 | 1.12 Bn |
| Dec 31, 2023 | 682.26 Mn |
| Sep 30, 2023 | 711.40 Mn |
| Jun 30, 2023 | 661.45 Mn |
| Mar 31, 2023 | 722.00 Mn |
| Dec 31, 2022 | 813.95 Mn |
| Sep 30, 2022 | 813.21 Mn |
| Jun 30, 2022 | 776.31 Mn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.32 Bn |
| Sep 30, 2021 | 1.80 Bn |
Green Dot 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=GDOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "GDOT", "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=GDOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();