MoneyHero (MNY) Cash & Equivalents (2022 - 2026)
MoneyHero's Cash & Equivalents came in at $28.16 million for the quarter ended Jun 30, 2026, down 6.7% from $30.17 million a year earlier but up 0.6% from the prior quarter.
MoneyHero (MNY) Cash & Equivalents (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, MoneyHero's Cash & Equivalents was $31.19 million, down 26.7% from the prior year.
- Cash & Equivalents carries a four-year compound annual growth rate of 35.7% (years ended Dec 2021 to Dec 2025).
- Going back by year, Cash & Equivalents was $42.52 million in the year ended Dec 31, 2024 (-38.1%), $68.64 million in the year ended Dec 31, 2023 (+185.1%), $24.08 million in the year ended Dec 31, 2022 (+162.0%) and $9.19 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Cash & Equivalents is $14.32 million (the quarter ended Sep 30, 2023) to $115.92 million (the quarter ended Jun 30, 2023).
- Year-over-year, Cash & Equivalents has declined for seven consecutive quarters, with growth averaging 1.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in the quarter ended Sep 30, 2024 (growth of 232.9%), and the weakest in the quarter ended Jun 30, 2024 (a decline of 51.3%).
- Business Quant data shows MNY's Cash & Equivalents at $27.98 million (quarter ended Mar 31, 2026), $31.19 million (quarter ended Dec 31, 2025) and $27.92 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | MoneyHero | 30.74 Mn | -85.21 Mn | 8.19 Mn | 28.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.16 Mn |
| Mar 31, 2026 | 27.98 Mn |
| Dec 31, 2025 | 31.19 Mn |
| Sep 30, 2025 | 27.92 Mn |
| Jun 30, 2025 | 30.17 Mn |
| Mar 31, 2025 | 36.63 Mn |
| Dec 31, 2024 | 42.52 Mn |
| Sep 30, 2024 | 47.66 Mn |
| Jun 30, 2024 | 56.50 Mn |
| Mar 31, 2024 | 60.04 Mn |
| Dec 31, 2023 | 68.64 Mn |
| Sep 30, 2023 | 14.32 Mn |
| Jun 30, 2023 | 115.92 Mn |
| Dec 31, 2022 | 24.08 Mn |
MoneyHero 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=MNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "MNY", "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=MNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();