Lamar Advertising Co/New (LAMR) EPS (Diluted) (2009 - 2026)
Lamar Advertising's EPS (Diluted) was $1.58 in Q2 2026, up 4.2% from $1.52 a year earlier and up 58.5% from the prior quarter.
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Analysis
Lamar Advertising Co/New (LAMR) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lamar Advertising's EPS (Diluted) was $5.47 through Jun 30, 2026, up 26.7% year-over-year; for FY2025, it came in at $5.77, up 63.8% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was $3.52 in FY2024 (-27.4%), $4.85 in FY2023 (+12.5%), $4.31 in FY2022 (+12.7%) and $3.83 in FY2021 (+58.8%).
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) since Q4 2014.
- Compared with a year earlier, EPS (Diluted) was higher in four of the last six quarters, with growth averaging 11.8%.
- The best year-over-year quarter for EPS (Diluted) over five years was Q1 2022 (growth of 139.8%); the worst was Q4 2022 (a decline of 46.6%).
- Per Business Quant data, LAMR's EPS (Diluted) in the three quarters before Q2 2026 was $1.00 (Q1 2026), $1.50 (Q4 2025) and $1.40 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 |
| Mar 31, 2026 | 1.00 |
| Dec 31, 2025 | 1.50 |
| Sep 30, 2025 | 1.40 |
| Jun 30, 2025 | 1.52 |
| Mar 31, 2025 | 1.35 |
| Dec 31, 2024 | -0.01 |
| Sep 30, 2024 | 1.44 |
| Jun 30, 2024 | 1.34 |
| Mar 31, 2024 | 0.76 |
| Dec 31, 2023 | 1.46 |
| Sep 30, 2023 | 1.37 |
| Jun 30, 2023 | 1.28 |
| Mar 31, 2023 | 0.74 |
| Dec 31, 2022 | 0.65 |
| Sep 30, 2022 | 1.44 |
| Jun 30, 2022 | 1.32 |
| Mar 31, 2022 | 0.91 |
| Dec 31, 2021 | 1.22 |
| Sep 30, 2021 | 1.05 |
API Access
Lamar Advertising Co/New EPS (Diluted) 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=eps-diluted&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();