Clear Channel Outdoor Holdings (CCO) Non Operating Interest Expenses (2010 - 2026)
Clear Channel Outdoor Holdings (CCO) reported Non Operating Interest Expenses of $99.03 million for Q2 2026, up 3.1% from $96.03 million a year earlier and up 0.5% from the prior quarter.
Clear Channel Outdoor Holdings (CCO) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Clear Channel Outdoor Holdings' Non Operating Interest Expenses came in at $397.79 million, up 0.7% year-over-year; for FY2025, it was $395.65 million, down 1.5% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $401.54 million in FY2024 (+0.9%), $398.05 million in FY2023 (+19.2%), $334.06 million in FY2022 (-4.3%) and $349 million in FY2021 (-3.1%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $82.6 million in Q1 2022 and a high of $101.7 million in Q1 2024.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with an average decline of 0.9%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2023 (growth of 16.1%); the low point was Q2 2025 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $98.5 million (Q1 2026), $99.21 million (Q4 2025) and $101.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | 354.50 Mn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | 113.94 Mn |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | 208.00 Mn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn | - |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 41.11 Mn |
| 6 | OUTFRONT Media | 4.89 Bn | 4.65 Bn | 276.40 Mn | - |
| 7 | Array Digital Infrastructure | 2.92 Bn | 1.81 Bn | 30.57 Mn | 10.86 Mn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn | -105.50 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | -953,000.00 |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | 99.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.03 Mn |
| Mar 31, 2026 | 98.50 Mn |
| Dec 31, 2025 | 99.21 Mn |
| Sep 30, 2025 | 101.05 Mn |
| Jun 30, 2025 | 96.03 Mn |
| Mar 31, 2025 | 99.36 Mn |
| Dec 31, 2024 | 100.06 Mn |
| Sep 30, 2024 | 99.66 Mn |
| Jun 30, 2024 | 100.12 Mn |
| Mar 31, 2024 | 101.70 Mn |
| Dec 31, 2023 | 101.62 Mn |
| Sep 30, 2023 | 101.68 Mn |
| Jun 30, 2023 | 98.86 Mn |
| Mar 31, 2023 | 95.89 Mn |
| Dec 31, 2022 | 98.90 Mn |
| Sep 30, 2022 | 92.62 Mn |
| Jun 30, 2022 | 86.49 Mn |
| Mar 31, 2022 | 82.60 Mn |
| Dec 31, 2020 | 90.82 Mn |
| Sep 30, 2020 | 90.55 Mn |
Clear Channel Outdoor Holdings 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=CCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CCO", "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=CCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();