E.W. Scripps (SSP) Depreciation and Depletion (2010 - 2026)
E.W. Scripps' Depreciation and Depletion was $13.29 million in Q2 2026, down 9.3% from $14.64 million a year earlier and unchanged from the prior quarter.
E.W. Scripps (SSP) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, E.W. Scripps' Depreciation and Depletion was $55.88 million through Jun 30, 2026, down 8.8% year-over-year; for FY2025, it was $58.85 million, down 5.1% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $61.99 million in FY2024 (+2.1%), $60.73 million in FY2023 (-2.0%), $61.94 million in FY2022 (+6.1%) and $58.36 million in FY2021 (+15.8%).
- Quarterly Depreciation and Depletion has moved between $13.29 million (Q1 2026) and $15.91 million (Q4 2024) over five years.
- Compared with a year earlier, Depreciation and Depletion has declined for six straight quarters, with an average decline of 4.0% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2021 (growth of 24.4%); the worst was Q1 2026 (a decline of 10.9%).
- Per Business Quant data, SSP's Depreciation and Depletion in the three quarters before Q2 2026 was $13.29 million (Q1 2026), $14.62 million (Q4 2025) and $14.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 48.60 Mn |
| 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 | 13.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.29 Mn |
| Mar 31, 2026 | 13.29 Mn |
| Dec 31, 2025 | 14.62 Mn |
| Sep 30, 2025 | 14.68 Mn |
| Jun 30, 2025 | 14.64 Mn |
| Mar 31, 2025 | 14.90 Mn |
| Dec 31, 2024 | 15.91 Mn |
| Sep 30, 2024 | 15.81 Mn |
| Jun 30, 2024 | 15.15 Mn |
| Mar 31, 2024 | 15.12 Mn |
| Dec 31, 2023 | 15.44 Mn |
| Sep 30, 2023 | 15.10 Mn |
| Jun 30, 2023 | 15.14 Mn |
| Mar 31, 2023 | 15.05 Mn |
| Dec 31, 2022 | 15.42 Mn |
| Sep 30, 2022 | 15.34 Mn |
| Jun 30, 2022 | 15.81 Mn |
| Mar 31, 2022 | 15.37 Mn |
| Dec 31, 2021 | 15.05 Mn |
| Sep 30, 2021 | 14.94 Mn |
E.W. Scripps Depreciation and Depletion 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=depreciation-and-depletion&ticker=SSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();