OUTFRONT Media (OUT) Operating Expenses (2013 - 2026)
OUTFRONT Media's Operating Expenses was $406.4 million in Q2 2026, up 0.6% from $404 million a year earlier and up 8.8% from the prior quarter.
OUTFRONT Media (OUT) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, OUTFRONT Media's Operating Expenses was $1.54 billion through Jun 30, 2026, down 0.4% year-over-year; for FY2025, it was $1.54 billion, up 9.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.41 billion in FY2024 (-32.2%), $2.07 billion in FY2023 (+39.2%), $1.49 billion in FY2022 (+15.0%) and $1.3 billion in FY2021 (+11.3%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2023.
- Compared with a year earlier, Operating Expenses was higher in two of the last eight quarters, with growth averaging 6.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2023 (growth of 144.9%); the worst was Q2 2024 (a decline of 72.6%).
- Per Business Quant data, OUT's Operating Expenses in the three quarters before Q2 2026 was $373.7 million (Q1 2026), $379.8 million (Q4 2025) and $377.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 78.00 Bn | 77.74 Bn | 2.72 Bn | 1.48 Bn |
| 2 | Digital Realty Trust | 65.33 Bn | 55.85 Bn | - | 1.46 Bn |
| 3 | Crown Castle | 28.57 Bn | 27.31 Bn | 989.00 Mn | 538.00 Mn |
| 4 | Sba Communications | 17.27 Bn | 17.36 Bn | 539.27 Mn | 363.41 Mn |
| 5 | Lamar Advertising | 12.72 Bn | 12.54 Bn | 422.53 Mn | 408.79 Mn |
| 6 | OUTFRONT Media | 4.93 Bn | 4.69 Bn | 276.40 Mn | 406.40 Mn |
| 7 | Array Digital Infrastructure | 2.93 Bn | 1.83 Bn | 30.57 Mn | -345.19 Mn |
| 8 | IHS Holding | 2.81 Bn | -54.39 Mn | 207.10 Mn | -125.40 Mn |
| 9 | Fermi | 2.73 Bn | 1.87 Bn | - | 26.76 Mn |
| 10 | Clear Channel Outdoor Holdings | 1.19 Bn | 478.09 Mn | 241.86 Mn | 69.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 406.40 Mn |
| Mar 31, 2026 | 373.70 Mn |
| Dec 31, 2025 | 379.80 Mn |
| Sep 30, 2025 | 377.60 Mn |
| Jun 30, 2025 | 404.00 Mn |
| Mar 31, 2025 | 376.80 Mn |
| Dec 31, 2024 | 382.10 Mn |
| Sep 30, 2024 | 380.60 Mn |
| Jun 30, 2024 | 248.20 Mn |
| Mar 31, 2024 | 394.50 Mn |
| Dec 31, 2023 | 390.20 Mn |
| Sep 30, 2023 | 396.20 Mn |
| Jun 30, 2023 | 907.00 Mn |
| Mar 31, 2023 | 385.60 Mn |
| Dec 31, 2022 | 394.90 Mn |
| Sep 30, 2022 | 379.40 Mn |
| Jun 30, 2022 | 370.30 Mn |
| Mar 31, 2022 | 345.00 Mn |
| Dec 31, 2021 | 359.30 Mn |
| Sep 30, 2021 | 334.20 Mn |
OUTFRONT Media Operating 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=operating-expenses&ticker=OUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OUT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=OUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();