Playstudios (MYPS) Operating Expenses (2020 - 2026)
Playstudios (MYPS) recorded Operating Expenses of $64.54 million in Q2 2026, up 2.7% from $62.83 million a year earlier but down 10.0% from the prior quarter.
Playstudios (MYPS) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Playstudios' Operating Expenses came in at $267 million as of Jun 30, 2026, down 9.3% year-over-year; for FY2025, it was $259.02 million, down 19.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $322.29 million in FY2024 (+0.3%), $321.37 million in FY2023 (+0.9%), $318.39 million in FY2022 (+9.6%) and $290.41 million in FY2021 (+11.9%).
- Quarterly Operating Expenses has ranged from $62.83 million in Q2 2025 to $90.2 million in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 7.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 28.2% in Q1 2022, against a decline of 27.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $71.72 million (Q1 2026), $65.23 million (Q4 2025) and $65.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Playstudios | 50.25 Mn | -367.35 Mn | 44.17 Mn | 64.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.54 Mn |
| Mar 31, 2026 | 71.72 Mn |
| Dec 31, 2025 | 65.23 Mn |
| Sep 30, 2025 | 65.51 Mn |
| Jun 30, 2025 | 62.83 Mn |
| Mar 31, 2025 | 65.45 Mn |
| Dec 31, 2024 | 90.20 Mn |
| Sep 30, 2024 | 76.01 Mn |
| Jun 30, 2024 | 76.55 Mn |
| Mar 31, 2024 | 79.53 Mn |
| Dec 31, 2023 | 79.83 Mn |
| Sep 30, 2023 | 79.58 Mn |
| Jun 30, 2023 | 79.64 Mn |
| Mar 31, 2023 | 82.33 Mn |
| Dec 31, 2022 | 83.84 Mn |
| Sep 30, 2022 | 75.31 Mn |
| Jun 30, 2022 | 73.95 Mn |
| Mar 31, 2022 | 85.29 Mn |
| Dec 31, 2021 | 68.68 Mn |
| Sep 30, 2021 | 71.37 Mn |
Playstudios Operating Expenses 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=operating-expenses&ticker=MYPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MYPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();