American Picture House (APHP) Price to Sales (2023 - 2026)
American Picture House's Price to Sales was 17.31 in Q2 2026, down 97.7% from 760.93 a year earlier and down 13.3% from the prior quarter.
Analysis
American Picture House (APHP) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at American Picture House came in at 13.29, down 97.9% from FY2024.
- In earlier years, Price to Sales was 634.43 in FY2024 (+241.7%) and 185.66 in FY2023.
- Quarterly Price to Sales has moved between 13.29 (Q4 2025) and 1136.34 (Q1 2025) over five years.
- Compared with a year earlier, Price to Sales has declined for three straight quarters, with growth averaging 7.0% over the last seven quarters.
- Per Business Quant data, APHP's Price to Sales in the three quarters before Q2 2026 was 19.98 (Q1 2026), 13.29 (Q4 2025) and 684.84 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walt Disney | 175.02 Bn | 159.59 Bn | 11.57 Bn |
| 2 | Warner Music | 14.15 Bn | 11.64 Bn | 854.00 Mn |
| 3 | Lionsgate Studios | 3.34 Bn | 2.30 Bn | - |
| 4 | Angel Studios | 781.16 Mn | 586.65 Mn | 59.96 Mn |
| 5 | Reservoir Media | 636.23 Mn | 548.54 Mn | 26.69 Mn |
| 6 | Kartoon Studios | 35.46 Mn | 18.33 Mn | - |
| 7 | American Picture House | 6.83 Mn | 6.83 Mn | - |
| 8 | Nexus Advanced Technologies | 1.86 Mn | -16.75 Mn | - |
| 9 | AI Era | 348,100.85 | -302,132.15 | - |
| 10 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.31 |
| Mar 31, 2026 | 19.98 |
| Dec 31, 2025 | 13.29 |
| Sep 30, 2025 | 684.84 |
| Jun 30, 2025 | 760.93 |
| Mar 31, 2025 | 1,136.34 |
| Dec 31, 2024 | 634.43 |
| Sep 30, 2024 | 587.90 |
| Jun 30, 2024 | 709.54 |
| Mar 31, 2024 | 639.79 |
| Dec 31, 2023 | 185.66 |
API Access
American Picture House Price to Sales 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=price-to-sales&ticker=APHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=APHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();