Playstudios (MYPS) Total Liabilities (2020 - 2026)
Playstudios (MYPS) posted Total Liabilities of $63.44 million for Q2 2026, down 10.6% from $70.94 million a year earlier but up 0.5% from the prior quarter.
Playstudios (MYPS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Playstudios' Total Liabilities came in at $62.75 million, down 19.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Playstudios' Total Liabilities was $78.24 million in FY2024 (+0.3%), $77.97 million in FY2023 (+56.9%), $49.7 million in FY2022 (+58.4%) and $31.38 million in FY2021 (-18.3%).
- Quarterly Total Liabilities has run from a low of $30.44 million in Q3 2022 to a high of $78.24 million in Q4 2024 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with growth averaging 1.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 58.4%; the weakest was Q1 2022, with a decline of 62.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $63.1 million (Q1 2026), $62.75 million (Q4 2025) and $60.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Playstudios | 50.25 Mn | -367.35 Mn | 44.17 Mn | 63.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.44 Mn |
| Mar 31, 2026 | 63.10 Mn |
| Dec 31, 2025 | 62.75 Mn |
| Sep 30, 2025 | 60.23 Mn |
| Jun 30, 2025 | 70.94 Mn |
| Mar 31, 2025 | 69.69 Mn |
| Dec 31, 2024 | 78.24 Mn |
| Sep 30, 2024 | 65.37 Mn |
| Jun 30, 2024 | 69.88 Mn |
| Mar 31, 2024 | 69.05 Mn |
| Dec 31, 2023 | 77.97 Mn |
| Sep 30, 2023 | 42.46 Mn |
| Jun 30, 2023 | 50.22 Mn |
| Mar 31, 2023 | 49.91 Mn |
| Dec 31, 2022 | 49.70 Mn |
| Sep 30, 2022 | 30.44 Mn |
| Jun 30, 2022 | 37.07 Mn |
| Mar 31, 2022 | 42.22 Mn |
| Dec 31, 2021 | 31.38 Mn |
| Sep 30, 2021 | 32.15 Mn |
Playstudios Total Liabilities 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=total-liabilities&ticker=MYPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MYPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=MYPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();