E.W. Scripps (SSP) Operating Expenses (2010 - 2026)
E.W. Scripps (SSP) posted Operating Expenses of $1.65 billion for Q2 2026, up 255.6% from $463.48 million a year earlier and up 234.9% from the prior quarter.
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Analysis
E.W. Scripps (SSP) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at E.W. Scripps was $3.15 billion, up 55.6% year-over-year; for FY2025, it was $1.97 billion, down 6.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, E.W. Scripps' Operating Expenses was $2.1 billion in FY2024 (-31.1%), $3.05 billion in FY2023 (+50.4%), $2.02 billion in FY2022 (+7.5%) and $1.88 billion in FY2021 (+21.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with growth averaging 24.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 255.6%; the weakest was Q2 2024, with a decline of 57.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $492.1 million (Q1 2026), $517.97 million (Q4 2025) and $488.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.62 Bn | 63.29 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 27.00 Bn | 12.91 Bn | - | 2.38 Bn |
| 3 | Omnicom | 20.21 Bn | 2.90 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 15.94 Bn | 8.14 Bn | - | 991.00 Mn |
| 5 | Paramount Skydance | 11.45 Bn | 9.37 Bn | - | - |
| 6 | New York Times | 10.22 Bn | 7.71 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Pearson | 10.20 Bn | 7.34 Bn | - | - |
| 8 | Sirius Xm Holdings | 8.72 Bn | 8.30 Bn | 1.44 Bn | 1.69 Bn |
| 9 | 36Kr Holdings | 5.91 Bn | 5.85 Bn | - | - |
| 10 | E.W. Scripps | 209.91 Mn | 30.55 Mn | 196.33 Mn | 1.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.65 Bn |
| Mar 31, 2026 | 492.10 Mn |
| Dec 31, 2025 | 517.97 Mn |
| Sep 30, 2025 | 488.23 Mn |
| Jun 30, 2025 | 463.48 Mn |
| Mar 31, 2025 | 496.92 Mn |
| Dec 31, 2024 | 536.76 Mn |
| Sep 30, 2024 | 524.52 Mn |
| Jun 30, 2024 | 517.92 Mn |
| Mar 31, 2024 | 518.08 Mn |
| Dec 31, 2023 | 817.36 Mn |
| Sep 30, 2023 | 513.44 Mn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 511.30 Mn |
| Dec 31, 2022 | 516.88 Mn |
| Sep 30, 2022 | 508.07 Mn |
| Jun 30, 2022 | 505.49 Mn |
| Mar 31, 2022 | 494.43 Mn |
| Dec 31, 2021 | 498.64 Mn |
| Sep 30, 2021 | 439.62 Mn |
API Access
E.W. Scripps Operating 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=operating-expenses&ticker=SSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();