Lamar Advertising (LAMR) Selling, General & Administrative (2009 - 2026)
Lamar Advertising's Selling, General & Administrative was $96.23 million in Q2 2026, up 7.7% from $89.32 million a year earlier but down 1.4% from the prior quarter.
Lamar Advertising (LAMR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lamar Advertising's Selling, General & Administrative was $378.25 million through Jun 30, 2026, up 2.8% year-over-year; for FY2025, it came in at $368.75 million, up 2.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $361.13 million in FY2024 (+4.7%), $344.78 million in FY2023 (-1.7%), $350.62 million in FY2022 (+7.2%) and $326.95 million in FY2021 (+13.6%).
- Quarterly Selling, General & Administrative has moved between $81.28 million (Q3 2023) and $97.58 million (Q1 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in seven of the last eight quarters, with growth averaging 4.6%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 29.4%); the worst was Q3 2023 (a decline of 6.8%).
- Per Business Quant data, LAMR's Selling, General & Administrative in the three quarters before Q2 2026 was $97.58 million (Q1 2026), $91.44 million (Q4 2025) and $93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 75.57 Bn | 75.31 Bn | 2.72 Bn | 233.80 Mn |
| 2 | Digital Realty Trust | 66.06 Bn | 56.59 Bn | - | 157.70 Mn |
| 3 | Crown Castle | 28.31 Bn | 27.05 Bn | 989.00 Mn | 97.00 Mn |
| 4 | Sba Communications | 16.81 Bn | 16.90 Bn | 539.27 Mn | 77.55 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 96.23 Mn |
| 6 | OUTFRONT Media | 5.05 Bn | 4.82 Bn | 276.40 Mn | 123.00 Mn |
| 7 | Array Digital Infrastructure | 2.97 Bn | 1.87 Bn | 30.57 Mn | 22.91 Mn |
| 8 | IHS Holding | 2.79 Bn | -67.81 Mn | 207.10 Mn | -125.40 Mn |
| 9 | Fermi | 2.57 Bn | 1.71 Bn | - | 26.76 Mn |
| 10 | Clear Channel Outdoor Holdings | 1.22 Bn | 503.54 Mn | 241.86 Mn | 69.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.23 Mn |
| Mar 31, 2026 | 97.58 Mn |
| Dec 31, 2025 | 91.44 Mn |
| Sep 30, 2025 | 93.00 Mn |
| Jun 30, 2025 | 89.32 Mn |
| Mar 31, 2025 | 94.99 Mn |
| Dec 31, 2024 | 92.63 Mn |
| Sep 30, 2024 | 91.01 Mn |
| Jun 30, 2024 | 88.34 Mn |
| Mar 31, 2024 | 89.16 Mn |
| Dec 31, 2023 | 87.84 Mn |
| Sep 30, 2023 | 81.28 Mn |
| Jun 30, 2023 | 90.53 Mn |
| Mar 31, 2023 | 85.14 Mn |
| Dec 31, 2022 | 89.70 Mn |
| Sep 30, 2022 | 87.18 Mn |
| Jun 30, 2022 | 90.66 Mn |
| Mar 31, 2022 | 83.08 Mn |
| Dec 31, 2021 | 92.52 Mn |
| Sep 30, 2021 | 85.95 Mn |
Lamar Advertising Selling, General & Administrative 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=selling-general-and-administrative&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();