Lamar Advertising (LAMR) Return on Sales [ROS] (2009 - 2026)
Lamar Advertising's Return on Sales [ROS] came in at 33.72% for Q2 2026, down 0.40 percentage points from 34.12% a year earlier but up 6.06 percentage points from the prior quarter.
Lamar Advertising (LAMR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lamar Advertising reported Return on Sales [ROS] of 31.78%, up 4.31 percentage points year-over-year; for FY2025, it came in at 34.16%, up 10.05 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +8.02 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 24.11% in FY2024 (-7.89 pp), 32.00% in FY2023 (+3.55 pp), 28.44% in FY2022 (-0.72 pp) and 29.16% in FY2021 (+3.02 pp).
- The five-year range for quarterly Return on Sales [ROS] is 6.32% (Q4 2024) to 37.84% (Q1 2025).
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -0.02 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2025 (a gain of 26.58 percentage points), and the weakest in Q4 2024 (a drop of 28.16 percentage points).
- Business Quant data shows LAMR's Return on Sales [ROS] at 27.66% (Q1 2026), 32.90% (Q4 2025) and 32.29% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 75.57 Bn | 75.31 Bn | 2.72 Bn | 46.15% |
| 2 | Digital Realty Trust | 66.06 Bn | 56.59 Bn | - | 24.28% |
| 3 | Crown Castle | 28.31 Bn | 27.05 Bn | 989.00 Mn | 46.63% |
| 4 | Sba Communications | 16.81 Bn | 16.90 Bn | 539.27 Mn | 49.19% |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 33.72% |
| 6 | OUTFRONT Media | 5.05 Bn | 4.82 Bn | 276.40 Mn | 22.22% |
| 7 | Array Digital Infrastructure | 2.97 Bn | 1.87 Bn | 30.57 Mn | 738.42% |
| 8 | IHS Holding | 2.79 Bn | -67.81 Mn | 207.10 Mn | 19.32% |
| 9 | Fermi | 2.57 Bn | 1.71 Bn | - | - |
| 10 | Clear Channel Outdoor Holdings | 1.22 Bn | 503.54 Mn | 241.86 Mn | 20.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.72% |
| Mar 31, 2026 | 27.66% |
| Dec 31, 2025 | 32.90% |
| Sep 30, 2025 | 32.29% |
| Jun 30, 2025 | 34.12% |
| Mar 31, 2025 | 37.84% |
| Dec 31, 2024 | 6.32% |
| Sep 30, 2024 | 33.07% |
| Jun 30, 2024 | 32.59% |
| Mar 31, 2024 | 25.01% |
| Dec 31, 2023 | 34.49% |
| Sep 30, 2023 | 34.67% |
| Jun 30, 2023 | 32.67% |
| Mar 31, 2023 | 25.21% |
| Dec 31, 2022 | 20.55% |
| Sep 30, 2022 | 34.32% |
| Jun 30, 2022 | 32.15% |
| Mar 31, 2022 | 26.69% |
| Dec 31, 2021 | 30.32% |
| Sep 30, 2021 | 27.96% |
Lamar Advertising Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();