Anghami (ANGH) Other Accumulated Expenses (2020 - 2025)
Anghami's Other Accumulated Expenses came in at $50.6 million for the quarter ended Dec 31, 2025, up 165.1% from $19.09 million a year earlier.
Anghami (ANGH) Other Accumulated Expenses (2020 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2020, Anghami's Other Accumulated Expenses data covers 9 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 93.1% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Accumulated Expenses was $19.09 million in the year ended Dec 31, 2024, $1.1 million in the year ended Dec 31, 2023 (-55.0%), $2.44 million in the year ended Dec 31, 2022 (+17.6%) and $2.07 million in the year ended Dec 31, 2021 (+9.9%).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Other Accumulated Expenses in data going back to the quarter ended Dec 31, 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,575.43 Bn | 3,310.33 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,635.83 Bn | 1,300.35 Bn | 51.23 Bn |
| 3 | Netflix | 262.99 Bn | 224.29 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 246.20 Bn | 59.84 Bn | 15.16 Bn |
| 5 | Shopify | 192.43 Bn | 171.23 Bn | 1.78 Bn |
| 6 | Uber Technologies | 141.33 Bn | 112.15 Bn | 6.42 Bn |
| 7 | AppLovin | 132.33 Bn | 120.86 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.18 Bn | 80.10 Bn | 1.89 Bn |
| 9 | Booking Holdings | 122.13 Bn | 55.87 Bn | - |
| 10 | Anghami | 22.98 Mn | -60.01 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 50.60 Mn |
| Dec 31, 2024 | 19.09 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Jun 30, 2023 | 28.12 Mn |
| Dec 31, 2022 | 2.44 Mn |
| Jun 30, 2022 | 1.69 Mn |
| Dec 31, 2021 | 2.07 Mn |
| Jun 30, 2021 | 1.70 Mn |
| Dec 31, 2020 | 1.89 Mn |
Anghami Other Accumulated 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=other-accumulated-expenses&ticker=ANGH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ANGH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=ANGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();