E.W. Scripps (SSP) Amortization - Intangibles (2010 - 2026)
E.W. Scripps (SSP) posted Amortization - Intangibles of $21.77 million for Q2 2026, down 3.5% from $22.56 million a year earlier and down 1.3% from the prior quarter.
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Analysis
E.W. Scripps (SSP) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at E.W. Scripps was $89.71 million, down 3.0% year-over-year; for FY2025, it came in at $91.98 million, down 1.3% from FY2024.
- Annual Amortization - Intangibles has declined for four consecutive years, though with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, E.W. Scripps' Amortization - Intangibles was $93.24 million in FY2024 (-1.2%), $94.38 million in FY2023 (-4.2%), $98.49 million in FY2022 (-4.9%) and $103.57 million in FY2021 (+82.5%).
- The Q2 2026 figure stands as the lowest quarterly Amortization - Intangibles since Q4 2020.
- On a year-over-year basis, Amortization - Intangibles increased in 1 of the last eight quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q3 2021, with growth of 90.0%; the weakest was Q3 2022, with a decline of 10.8%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $22.06 million (Q1 2026), $23.34 million (Q4 2025) and $22.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.62 Bn | 63.29 Bn | 4.10 Bn |
| 2 | Fox | 27.00 Bn | 12.91 Bn | - |
| 3 | Omnicom | 20.21 Bn | 2.90 Bn | 1.30 Bn |
| 4 | News | 15.94 Bn | 8.14 Bn | - |
| 5 | Paramount Skydance | 11.45 Bn | 9.37 Bn | - |
| 6 | New York Times | 10.22 Bn | 7.71 Bn | 394.61 Mn |
| 7 | Pearson | 10.20 Bn | 7.34 Bn | - |
| 8 | Sirius Xm Holdings | 8.72 Bn | 8.30 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 5.91 Bn | 5.85 Bn | - |
| 10 | E.W. Scripps | 209.91 Mn | 30.55 Mn | 196.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.77 Mn |
| Mar 31, 2026 | 22.06 Mn |
| Dec 31, 2025 | 23.34 Mn |
| Sep 30, 2025 | 22.53 Mn |
| Jun 30, 2025 | 22.56 Mn |
| Mar 31, 2025 | 23.56 Mn |
| Dec 31, 2024 | 23.30 Mn |
| Sep 30, 2024 | 23.05 Mn |
| Jun 30, 2024 | 23.32 Mn |
| Mar 31, 2024 | 23.57 Mn |
| Dec 31, 2023 | 23.91 Mn |
| Sep 30, 2023 | 23.49 Mn |
| Jun 30, 2023 | 23.49 Mn |
| Mar 31, 2023 | 23.49 Mn |
| Dec 31, 2022 | 24.68 Mn |
| Sep 30, 2022 | 24.23 Mn |
| Jun 30, 2022 | 25.21 Mn |
| Mar 31, 2022 | 24.38 Mn |
| Dec 31, 2021 | 24.53 Mn |
| Sep 30, 2021 | 27.15 Mn |
API Access
E.W. Scripps Amortization - Intangibles 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=amortization-intangibles&ticker=SSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=SSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();