Sinclair (SBGI) Accumulated Expenses (2010 - 2025)
Sinclair (SBGI) recorded Accumulated Expenses of $496 million in Q4 2025, up 19.2% from $416 million a year earlier.
Analysis
Sinclair (SBGI) Accumulated Expenses (2010 - 2025) Analysis & Trends
Starting with Q4 2010, Sinclair's Accumulated Expenses history includes 30 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $416 million in FY2024 (-54.4%), $913 million in FY2023 (+130.0%), $397 million in FY2022 (-39.4%) and $655 million in FY2021 (+22.9%).
- The Q4 2025 figure is the highest quarterly Accumulated Expenses since Q4 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 | Sinclair | 896.91 Mn | -2.02 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 496.00 Mn |
| Dec 31, 2024 | 416.00 Mn |
| Dec 31, 2023 | 913.00 Mn |
| Dec 31, 2022 | 397.00 Mn |
| Dec 31, 2021 | 655.00 Mn |
| Dec 31, 2020 | 533.00 Mn |
| Dec 31, 2019 | 782.00 Mn |
| Dec 31, 2018 | 330.00 Mn |
| Dec 31, 2017 | 370.40 Mn |
| Dec 31, 2016 | 322.51 Mn |
| Dec 31, 2015 | 251.31 Mn |
| Sep 30, 2015 | 265.79 Mn |
| Jun 30, 2015 | 218.40 Mn |
| Mar 31, 2015 | 237.71 Mn |
| Dec 31, 2014 | 260.85 Mn |
| Sep 30, 2014 | 263.84 Mn |
| Jun 30, 2014 | 187.61 Mn |
| Mar 31, 2014 | 225.03 Mn |
| Dec 31, 2013 | 182.19 Mn |
| Sep 30, 2013 | 200.78 Mn |
API Access
Sinclair Accumulated 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=accumulated-expenses&ticker=SBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SBGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();