Playstudios (MYPS) Research & Development (2020 - 2026)
Playstudios' Research & Development was $15.15 million in Q2 2026, up 6.5% from $14.21 million a year earlier and up 2.9% from the prior quarter.
Playstudios (MYPS) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Playstudios' Research & Development was $60.36 million through Jun 30, 2026, down 0.7% year-over-year; for FY2025, it came in at $58.38 million, down 13.8% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, Research & Development was $67.68 million in FY2024 (-3.7%), $70.3 million in FY2023 (+11.0%), $63.32 million in FY2022 (+3.2%) and $61.34 million in FY2021 (+18.7%).
- Quarterly Research & Development has moved between $13.67 million (Q1 2025) and $18.38 million (Q2 2023) over five years.
- Compared with a year earlier, Research & Development was higher in two of the last eight quarters, with an average decline of 5.9%.
- The best year-over-year quarter for Research & Development over five years was Q2 2023 (growth of 27.0%); the worst was Q1 2025 (a decline of 24.1%).
- Per Business Quant data, MYPS's Research & Development in the three quarters before Q2 2026 was $14.72 million (Q1 2026), $15.67 million (Q4 2025) and $14.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Playstudios | 50.25 Mn | -367.35 Mn | 44.17 Mn | 15.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.15 Mn |
| Mar 31, 2026 | 14.72 Mn |
| Dec 31, 2025 | 15.67 Mn |
| Sep 30, 2025 | 14.81 Mn |
| Jun 30, 2025 | 14.21 Mn |
| Mar 31, 2025 | 13.67 Mn |
| Dec 31, 2024 | 16.27 Mn |
| Sep 30, 2024 | 16.65 Mn |
| Jun 30, 2024 | 16.74 Mn |
| Mar 31, 2024 | 18.02 Mn |
| Dec 31, 2023 | 16.80 Mn |
| Sep 30, 2023 | 17.37 Mn |
| Jun 30, 2023 | 18.38 Mn |
| Mar 31, 2023 | 17.76 Mn |
| Dec 31, 2022 | 16.75 Mn |
| Sep 30, 2022 | 15.11 Mn |
| Jun 30, 2022 | 14.47 Mn |
| Mar 31, 2022 | 16.98 Mn |
| Dec 31, 2021 | 14.79 Mn |
| Sep 30, 2021 | 14.51 Mn |
Playstudios Research & Development 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=research-and-development&ticker=MYPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MYPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();