Cheer Holding (CHR) Operating Expenses (2018 - 2020)
Cheer Holding (CHR) reported Operating Expenses of -$122.55 million for FY2025, compared with -$121.6 million in FY2024.
Analysis
Cheer Holding (CHR) Operating Expenses (2018 - 2020) Analysis & Trends
Dating back to FY2018, Cheer Holding's Operating Expenses record includes 8 years.
- Five-year annual Operating Expenses spans a low of -$130.35 million in FY2022 and a high of -$116.73 million in FY2021.
- According to Business Quant data, Operating Expenses came in at -$121.6 million in FY2024, -$123.04 million in FY2023, -$130.35 million in FY2022 and -$116.73 million in FY2021.
Peer Set
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 | Cheer Holding | 578,341.93 | -856.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | -11.08 Mn |
| Mar 31, 2020 | 6.86 Mn |
| Dec 31, 2019 | -40.37 Mn |
| Sep 30, 2019 | 690,455.00 |
| Jun 30, 2019 | -11.93 Mn |
| Mar 31, 2019 | 9.31 Mn |
| Dec 31, 2018 | 172,748.00 |
| Sep 30, 2018 | 64,359.00 |
| Jun 30, 2018 | 9,344.00 |
| Mar 31, 2018 | 30,515.00 |
API Access
Cheer Holding 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=CHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CHR", "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=CHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();