Green Dot (GDOT) Property, Plant & Equipment (Net) (2010 - 2026)
Green Dot's Property, Plant & Equipment (Net) was $200.2 million in Q2 2026, up 1.0% from $198.13 million a year earlier and up 0.6% from the prior quarter.
Green Dot (GDOT) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Green Dot came in at $198.35 million, up 5.3% from FY2024.
- Property, Plant & Equipment (Net) has now increased for five consecutive years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $188.36 million in FY2024 (+5.0%), $179.38 million in FY2023 (+12.0%), $160.22 million in FY2022 (+18.4%) and $135.34 million in FY2021 (+1.5%).
- Quarterly Property, Plant & Equipment (Net) has moved between $132.28 million (Q3 2021) and $200.69 million (Q3 2025) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 19 straight quarters, with growth averaging 6.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2023 (growth of 23.8%); the worst was Q3 2021 (a decline of 9.4%).
- Per Business Quant data, GDOT's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $198.98 million (Q1 2026), $198.35 million (Q4 2025) and $200.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 37.70 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 12.79 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.96 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 8.82 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 11.63 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 7.28 Bn |
| 10 | Green Dot | 702.63 Mn | -5.15 Bn | - | 200.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.20 Mn |
| Mar 31, 2026 | 198.98 Mn |
| Dec 31, 2025 | 198.35 Mn |
| Sep 30, 2025 | 200.69 Mn |
| Jun 30, 2025 | 198.13 Mn |
| Mar 31, 2025 | 194.60 Mn |
| Dec 31, 2024 | 188.36 Mn |
| Sep 30, 2024 | 181.39 Mn |
| Jun 30, 2024 | 175.21 Mn |
| Mar 31, 2024 | 175.13 Mn |
| Dec 31, 2023 | 179.38 Mn |
| Sep 30, 2023 | 174.57 Mn |
| Jun 30, 2023 | 171.59 Mn |
| Mar 31, 2023 | 166.04 Mn |
| Dec 31, 2022 | 160.22 Mn |
| Sep 30, 2022 | 150.26 Mn |
| Jun 30, 2022 | 138.65 Mn |
| Mar 31, 2022 | 139.31 Mn |
| Dec 31, 2021 | 135.34 Mn |
| Sep 30, 2021 | 132.28 Mn |
Green Dot Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GDOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GDOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();