E.W. Scripps (SSP) Total Non-Current Liabilities (2010 - 2026)
E.W. Scripps (SSP) recorded Total Non-Current Liabilities of $3.21 billion in Q2 2026, down 5.4% from $3.39 billion a year earlier and down 2.9% from the prior quarter.
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Analysis
E.W. Scripps (SSP) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, E.W. Scripps reported Total Non-Current Liabilities of $3.39 billion, down 0.7% from FY2024.
- Annual Total Non-Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $3.42 billion in FY2024 (-9.4%), $3.77 billion in FY2023 (-1.2%), $3.82 billion in FY2022 (-7.2%) and $4.11 billion in FY2021 (+20.6%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q3 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined for 18 consecutive quarters, with an average decline of 5.4% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 73.7% in Q3 2021, against a decline of 12.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.31 billion (Q1 2026), $3.39 billion (Q4 2025) and $3.45 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Fox | 27.27 Bn | 13.07 Bn | - | 9.36 Bn |
| 2 | Omnicom | 22.23 Bn | 3.93 Bn | 1.36 Bn | 38.12 Bn |
| 3 | News | 16.19 Bn | 7.67 Bn | - | 5.80 Bn |
| 4 | New York Times | 11.37 Bn | 8.86 Bn | 394.61 Mn | 289.27 Mn |
| 5 | Pearson | 11.32 Bn | 8.43 Bn | - | 2.20 Bn |
| 6 | Sirius Xm Holdings | 9.72 Bn | 9.72 Bn | - | - |
| 7 | Skydance | 8.74 Bn | 8.74 Bn | - | 26.64 Bn |
| 8 | Wpp | 5.85 Bn | -6.19 Bn | - | 8.15 Bn |
| 9 | Nexstar Media | 5.21 Bn | 4.04 Bn | 1.06 Bn | 118.00 Mn |
| 10 | E.W. Scripps | 241.28 Mn | 61.92 Mn | 196.33 Mn | 3.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.21 Bn |
| Mar 31, 2026 | 3.31 Bn |
| Dec 31, 2025 | 3.39 Bn |
| Sep 30, 2025 | 3.45 Bn |
| Jun 30, 2025 | 3.39 Bn |
| Mar 31, 2025 | 3.36 Bn |
| Dec 31, 2024 | 3.42 Bn |
| Sep 30, 2024 | 3.58 Bn |
| Jun 30, 2024 | 3.68 Bn |
| Mar 31, 2024 | 3.70 Bn |
| Dec 31, 2023 | 3.77 Bn |
| Sep 30, 2023 | 3.80 Bn |
| Jun 30, 2023 | 3.82 Bn |
| Mar 31, 2023 | 3.81 Bn |
| Dec 31, 2022 | 3.82 Bn |
| Sep 30, 2022 | 3.92 Bn |
| Jun 30, 2022 | 4.01 Bn |
| Mar 31, 2022 | 4.02 Bn |
| Dec 31, 2021 | 4.11 Bn |
| Sep 30, 2021 | 4.13 Bn |
API Access
E.W. Scripps Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();