Lamar Advertising (LAMR) EBITDA (2009 - 2026)
Lamar Advertising (LAMR) recorded EBITDA of $294.1 million in Q2 2026, up 6.0% from $277.32 million a year earlier and up 28.0% from the prior quarter.
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Analysis
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 $1.11 billion, up 10.5% from FY2024.
- Annual EBITDA has increased for five straight years, with a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $1 billion in FY2024 (+2.7%), $975.4 million in FY2023 (+4.5%), $933.61 million in FY2022 (+16.9%) and $798.36 million in FY2021 (+19.6%).
- 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 34.3% in Q1 2025, against a decline of 15.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $229.7 million (Q1 2026), $281.88 million (Q4 2025) and $276.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 86.72 Bn | 80.00 Bn | 2.75 Bn | 1.79 Bn |
| 2 | Digital Realty Trust | 67.98 Bn | 59.43 Bn | - | 849.76 Mn |
| 3 | Crown Castle | 37.11 Bn | 35.78 Bn | 982.00 Mn | 651.00 Mn |
| 4 | Sba Communications | 19.86 Bn | 18.40 Bn | 542.40 Mn | 452.17 Mn |
| 5 | Lamar Advertising | 16.11 Bn | 15.92 Bn | 422.53 Mn | 294.10 Mn |
| 6 | OUTFRONT Media | 5.53 Bn | 5.27 Bn | 276.40 Mn | 154.40 Mn |
| 7 | IHS Holding | 2.84 Bn | -723.51 Mn | 207.10 Mn | - |
| 8 | Array Digital Infrastructure | 2.59 Bn | 1.48 Bn | 30.57 Mn | 413.69 Mn |
| 9 | Clear Channel Outdoor Holdings | 1.23 Bn | 518.82 Mn | 241.86 Mn | 132.81 Mn |
| 10 | Fermi | 1.03 Bn | 171.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 294.10 Mn |
| Mar 31, 2026 | 229.70 Mn |
| Dec 31, 2025 | 281.88 Mn |
| Sep 30, 2025 | 276.90 Mn |
| Jun 30, 2025 | 277.32 Mn |
| Mar 31, 2025 | 270.58 Mn |
| Dec 31, 2024 | 273.60 Mn |
| Sep 30, 2024 | 263.23 Mn |
| Jun 30, 2024 | 263.06 Mn |
| Mar 31, 2024 | 201.46 Mn |
| Dec 31, 2023 | 263.83 Mn |
| Sep 30, 2023 | 264.40 Mn |
| Jun 30, 2023 | 253.60 Mn |
| Mar 31, 2023 | 193.57 Mn |
| Dec 31, 2022 | 258.92 Mn |
| Sep 30, 2022 | 248.40 Mn |
| Jun 30, 2022 | 235.73 Mn |
| Mar 31, 2022 | 190.55 Mn |
| Dec 31, 2021 | 217.04 Mn |
| Sep 30, 2021 | 219.08 Mn |
API Access
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_KEYimport 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();