Skydance (SKYD) Non Operating Interest Expenses (2024 - 2026)
Skydance (SKYD) posted Non Operating Interest Expenses of $260 million for Q3 2026, up 88.4% from $138 million a year earlier and up 2.0% from the prior quarter.
Skydance (SKYD) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Non Operating Interest Expenses at Skydance was $891 million, up 13.6% year-over-year; for FY2025, it was $366 million, down 57.4% from FY2024.
- In prior years, Skydance's Non Operating Interest Expenses was $860 million in FY2024 (-6.5%) and $920 million in FY2023.
- The Q3 2026 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q3 2024.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last three quarters, with growth averaging 20.8% over the last four quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Skydance | 38.27 Bn | 31.11 Bn | 2.37 Bn | 260.00 Mn |
| 2 | Fox | 28.80 Bn | 14.55 Bn | - | - |
| 3 | Omnicom | 24.00 Bn | 6.07 Bn | 1.36 Bn | 132.80 Mn |
| 4 | News | 14.59 Bn | 7.22 Bn | - | - |
| 5 | New York Times | 11.58 Bn | 9.01 Bn | 395.07 Mn | - |
| 6 | Pearson | 11.06 Bn | 8.20 Bn | - | - |
| 7 | Sirius Xm Holdings | 10.73 Bn | 10.18 Bn | 1.43 Bn | 109.00 Mn |
| 8 | Nexstar Media | 6.41 Bn | 5.06 Bn | 1.20 Bn | - |
| 9 | Wpp | 5.99 Bn | -5.80 Bn | - | - |
| 10 | Versant Media | 4.96 Bn | 1.30 Bn | 715.00 Mn | 53.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 260.00 Mn |
| Jun 30, 2026 | 255.00 Mn |
| Mar 31, 2026 | 238.00 Mn |
| Sep 30, 2025 | 138.00 Mn |
| Jun 30, 2025 | 214.00 Mn |
| Mar 31, 2025 | 217.00 Mn |
| Dec 31, 2024 | 215.00 Mn |
| Sep 30, 2024 | 209.00 Mn |
Skydance Non Operating Interest 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=non-operating-interest-expenses&ticker=SKYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SKYD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=SKYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();