E.W. Scripps (SSP) Price to Earnings (2011 - 2025)
E.W. Scripps' Price to Earnings came in at 3.94 for Q2 2025, up 90.2% from the prior quarter.
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Analysis
E.W. Scripps (SSP) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2024, E.W. Scripps' Price to Earnings was 1.42.
- Going back by year, Price to Earnings was 4.88 in FY2022 (-65.2%), 14.02 in FY2021 (+370.3%) and 2.98 in FY2020.
- The Q2 2025 figure represents the highest quarterly Price to Earnings since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.60 Bn | 63.26 Bn | 4.10 Bn |
| 2 | Fox | 26.84 Bn | 12.75 Bn | - |
| 3 | Omnicom | 20.35 Bn | 3.05 Bn | 1.30 Bn |
| 4 | News | 15.97 Bn | 8.16 Bn | - |
| 5 | Paramount Skydance | 10.53 Bn | 8.45 Bn | - |
| 6 | Pearson | 10.25 Bn | 7.39 Bn | - |
| 7 | New York Times | 10.06 Bn | 7.55 Bn | 394.61 Mn |
| 8 | Sirius Xm Holdings | 8.67 Bn | 8.25 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.97 Bn | 5.91 Bn | - |
| 10 | E.W. Scripps | 221.22 Mn | 41.86 Mn | 196.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 3.94 |
| Mar 31, 2025 | 2.07 |
| Dec 31, 2024 | 1.42 |
| Mar 31, 2023 | 4.89 |
| Dec 31, 2022 | 4.88 |
| Sep 30, 2022 | 5.37 |
| Jun 30, 2022 | 5.35 |
| Mar 31, 2022 | 12.50 |
| Dec 31, 2021 | 14.02 |
| Sep 30, 2021 | 3.45 |
| Jun 30, 2021 | 3.73 |
| Mar 31, 2021 | 3.71 |
| Dec 31, 2020 | 2.98 |
| Sep 30, 2020 | 16.93 |
| Jun 30, 2019 | 23.37 |
| Mar 31, 2019 | 27.17 |
| Dec 31, 2018 | 39.90 |
| Sep 30, 2018 | 158.74 |
| Sep 30, 2017 | 55.07 |
| Jun 30, 2017 | 16.37 |
API Access
E.W. Scripps Price to Earnings 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-earnings&ticker=SSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SSP", "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-earnings&ticker=SSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();