Lamar Advertising (LAMR) EBITDA (2009 - 2026)
Lamar Advertising (LAMR) recorded EBITDA of $292.41 million in Q2 2026, up 6.0% from $275.79 million a year earlier and up 28.2% from the prior quarter.
Lamar Advertising (LAMR) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Lamar Advertising's EBITDA came in at $1.08 billion as of Jun 30, 2026, down 0.2% year-over-year; for FY2025, it was $1.1 billion, up 10.6% from FY2024.
- Annual EBITDA has increased for five straight years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $995.01 million in FY2024 (+2.7%), $968.86 million in FY2023 (+4.5%), $927.45 million in FY2022 (+17.0%) and $792.48 million in FY2021 (+19.8%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q2 2009.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 5.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 34.6% in Q1 2025, against a decline of 15.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $228 million (Q1 2026), $280.19 million (Q4 2025) and $275.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 78.00 Bn | 77.74 Bn | 2.72 Bn | 1.78 Bn |
| 2 | Digital Realty Trust | 65.33 Bn | 55.85 Bn | - | 974.35 Mn |
| 3 | Crown Castle | 28.57 Bn | 27.31 Bn | 989.00 Mn | 641.00 Mn |
| 4 | Sba Communications | 17.27 Bn | 17.36 Bn | 539.27 Mn | 433.23 Mn |
| 5 | Lamar Advertising | 12.72 Bn | 12.54 Bn | 422.53 Mn | 292.41 Mn |
| 6 | OUTFRONT Media | 4.93 Bn | 4.69 Bn | 276.40 Mn | 153.10 Mn |
| 7 | Array Digital Infrastructure | 2.93 Bn | 1.83 Bn | 30.57 Mn | 413.69 Mn |
| 8 | IHS Holding | 2.81 Bn | -54.39 Mn | 207.10 Mn | - |
| 9 | Fermi | 2.73 Bn | 1.87 Bn | - | - |
| 10 | Clear Channel Outdoor Holdings | 1.19 Bn | 478.09 Mn | 241.86 Mn | 130.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292.41 Mn |
| Mar 31, 2026 | 228.00 Mn |
| Dec 31, 2025 | 280.19 Mn |
| Sep 30, 2025 | 275.36 Mn |
| Jun 30, 2025 | 275.79 Mn |
| Mar 31, 2025 | 269.05 Mn |
| Dec 31, 2024 | 272.09 Mn |
| Sep 30, 2024 | 261.67 Mn |
| Jun 30, 2024 | 261.42 Mn |
| Mar 31, 2024 | 199.83 Mn |
| Dec 31, 2023 | 262.21 Mn |
| Sep 30, 2023 | 262.77 Mn |
| Jun 30, 2023 | 251.95 Mn |
| Mar 31, 2023 | 191.93 Mn |
| Dec 31, 2022 | 257.29 Mn |
| Sep 30, 2022 | 246.82 Mn |
| Jun 30, 2022 | 234.25 Mn |
| Mar 31, 2022 | 189.08 Mn |
| Dec 31, 2021 | 215.57 Mn |
| Sep 30, 2021 | 217.64 Mn |
Lamar Advertising EBITDA 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=ebitda&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "LAMR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();