Angel Studios (ANGX) Other Accumulated Expenses (2022 - 2025)
Angel Studios' Other Accumulated Expenses was $18.15 million in Q4 2025, up 273.5% from $4.86 million a year earlier.
Analysis
Angel Studios (ANGX) Other Accumulated Expenses (2022 - 2025) Analysis & Trends
From Q4 2022 onward, Angel Studios has reported Other Accumulated Expenses for 10 quarters.
- Other Accumulated Expenses has now increased for three consecutive years, with a three-year compound annual growth rate of 320.3% (FY2022 to FY2025).
- In earlier years, Other Accumulated Expenses was $4.86 million in FY2024 (+145.9%), $1.98 million in FY2023 (+708.4%) and $244,550 in FY2022.
- The Q4 2025 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walt Disney | 176.43 Bn | 161.00 Bn | 11.57 Bn |
| 2 | Warner Music | 14.03 Bn | 11.52 Bn | 854.00 Mn |
| 3 | Lionsgate Studios | 3.32 Bn | 2.28 Bn | - |
| 4 | Angel Studios | 753.52 Mn | 559.02 Mn | 59.96 Mn |
| 5 | Reservoir Media | 627.66 Mn | 539.97 Mn | 26.69 Mn |
| 6 | Kartoon Studios | 34.83 Mn | 17.70 Mn | - |
| 7 | American Picture House | 7.96 Mn | 7.96 Mn | - |
| 8 | Nexus Advanced Technologies | 1.88 Mn | -16.73 Mn | - |
| 9 | AI Era | 348,100.85 | -302,132.15 | - |
| 10 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 18.15 Mn |
| Jun 30, 2025 | 2.42 Mn |
| Mar 31, 2025 | 2.42 Mn |
| Dec 31, 2024 | 4.86 Mn |
| Sep 30, 2024 | 2.30 Mn |
| Jun 30, 2024 | 2.30 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 1.98 Mn |
| Sep 30, 2023 | 1.98 Mn |
| Dec 31, 2022 | 244,550.00 |
API Access
Angel Studios 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=ANGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "ANGX", "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=ANGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();