American Picture House (APHP) Cash & Equivalents (2023 - 2026)
American Picture House's Cash & Equivalents was $22,338 in Q1 2026, up 383.6% from $4,619 a year earlier.
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Analysis
American Picture House (APHP) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at American Picture House came in at $124.00.
- In earlier years, Cash & Equivalents was $203,971 in FY2023.
- Quarterly Cash & Equivalents has moved between $124.00 (Q4 2025) and $203,971 (Q4 2023) over five years.
- Per Business Quant data, APHP's Cash & Equivalents in the three quarters before Q1 2026 was $124.00 (Q4 2025), $101,875 (Q3 2025) and $1,104 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walt Disney | 181.20 Bn | 165.77 Bn | 11.57 Bn | 5.19 Bn |
| 2 | Warner Music | 14.44 Bn | 11.93 Bn | 854.00 Mn | 618.00 Mn |
| 3 | Lionsgate Studios | 3.33 Bn | 2.29 Bn | - | 425.80 Mn |
| 4 | Angel Studios | 860.38 Mn | 665.88 Mn | 59.96 Mn | 48.04 Mn |
| 5 | Reservoir Media | 625.02 Mn | 537.33 Mn | 26.69 Mn | 13.66 Mn |
| 6 | Kartoon Studios | 36.70 Mn | 19.57 Mn | - | 7.74 Mn |
| 7 | American Picture House | 6.83 Mn | 6.83 Mn | - | - |
| 8 | Nexus Advanced Technologies | 2.08 Mn | -16.54 Mn | - | 5,784.86 |
| 9 | AI Era | 580,168.11 | -70,064.89 | - | 115,836.00 |
| 10 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 13.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 22,338.00 |
| Dec 31, 2025 | 124.00 |
| Sep 30, 2025 | 101,875.00 |
| Jun 30, 2025 | 1,104.00 |
| Mar 31, 2025 | 4,619.00 |
| Jun 30, 2024 | 8,058.00 |
| Mar 31, 2024 | 25,126.00 |
| Dec 31, 2023 | 203,971.00 |
API Access
American Picture House Cash & Equivalents 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=cash-and-equivalents&ticker=APHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "APHP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=APHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();