Lamar Advertising (LAMR) Other Operating Expenses (2009 - 2026)
Lamar Advertising (LAMR) recorded Other Operating Expenses of $312.56 million in Q2 2026, up 6.9% from $292.32 million a year earlier and up 9.9% from the prior quarter.
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Analysis
Lamar Advertising (LAMR) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Lamar Advertising's Other Operating Expenses came in at $1.21 billion as of Jun 30, 2026, down 3.2% year-over-year; for FY2025, it was $1.12 billion, down 14.5% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 74.0% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $1.31 billion in FY2024 (+20.5%), $1.09 billion in FY2023 (-1.2%), $1.1 billion in FY2022 (+17.5%) and $939.26 million in FY2021.
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q4 2024.
- On a year-over-year basis, Other Operating Expenses rose in five of the last eight quarters, with growth averaging 7.0%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 62.9% in Q4 2024, against a decline of 31.5% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $284.37 million (Q1 2026), $308.43 million (Q4 2025) and $303.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn |
| 6 | OUTFRONT Media | 4.89 Bn | 4.65 Bn | 276.40 Mn |
| 7 | Array Digital Infrastructure | 2.92 Bn | 1.81 Bn | 30.57 Mn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.56 Mn |
| Mar 31, 2026 | 284.37 Mn |
| Dec 31, 2025 | 308.43 Mn |
| Sep 30, 2025 | 303.46 Mn |
| Jun 30, 2025 | 292.32 Mn |
| Mar 31, 2025 | 219.21 Mn |
| Dec 31, 2024 | 450.29 Mn |
| Sep 30, 2024 | 286.57 Mn |
| Jun 30, 2024 | 292.68 Mn |
| Mar 31, 2024 | 284.39 Mn |
| Dec 31, 2023 | 276.36 Mn |
| Sep 30, 2023 | 273.19 Mn |
| Jun 30, 2023 | 273.82 Mn |
| Mar 31, 2023 | 267.40 Mn |
| Dec 31, 2022 | 335.76 Mn |
| Sep 30, 2022 | 259.22 Mn |
| Jun 30, 2022 | 260.69 Mn |
| Mar 31, 2022 | 247.85 Mn |
| Dec 31, 2021 | 252.11 Mn |
| Sep 30, 2021 | 257.61 Mn |
API Access
Lamar Advertising Other Operating Expenses 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=other-operating-expenses&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();