Green Dot (GDOT) Wages, Salaries and Other (2010 - 2026)
Green Dot (GDOT) posted Wages, Salaries and Other of $59 million for Q2 2026, down 7.6% from $63.85 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Green Dot (GDOT) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at Green Dot was $243.09 million, down 3.9% year-over-year; for FY2025, it came in at $254.38 million, up 1.3% from FY2024.
- Annual Wages, Salaries and Other shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In prior years, Green Dot's Wages, Salaries and Other was $251.04 million in FY2024 (+5.2%), $238.53 million in FY2023 (-2.2%), $243.94 million in FY2022 (-7.8%) and $264.69 million in FY2021 (+13.5%).
- The Q2 2026 figure stands as the lowest quarterly Wages, Salaries and Other since Q4 2023.
- On a year-over-year basis, Wages, Salaries and Other has declined in each of the last three quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q4 2024, with growth of 34.0%; the weakest was Q4 2023, with a decline of 21.7%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $59.77 million (Q1 2026), $60.9 million (Q4 2025) and $63.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 15.16 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 10.99 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 8.19 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.51 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.10 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 8.85 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 3.54 Bn |
| 10 | Green Dot | 702.63 Mn | -5.15 Bn | - | 59.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.00 Mn |
| Mar 31, 2026 | 59.77 Mn |
| Dec 31, 2025 | 60.90 Mn |
| Sep 30, 2025 | 63.41 Mn |
| Jun 30, 2025 | 63.85 Mn |
| Mar 31, 2025 | 66.21 Mn |
| Dec 31, 2024 | 61.08 Mn |
| Sep 30, 2024 | 61.80 Mn |
| Jun 30, 2024 | 61.35 Mn |
| Mar 31, 2024 | 66.82 Mn |
| Dec 31, 2023 | 45.59 Mn |
| Sep 30, 2023 | 59.17 Mn |
| Jun 30, 2023 | 64.99 Mn |
| Mar 31, 2023 | 68.78 Mn |
| Dec 31, 2022 | 58.20 Mn |
| Sep 30, 2022 | 61.87 Mn |
| Jun 30, 2022 | 57.61 Mn |
| Mar 31, 2022 | 66.26 Mn |
| Dec 31, 2021 | 64.69 Mn |
| Sep 30, 2021 | 65.05 Mn |
API Access
Green Dot Wages, Salaries and Other 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=wages-salaries-and-other&ticker=GDOT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=GDOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();