Lamar Advertising (LAMR) Non-Current Assets (2009 - 2026)
Lamar Advertising (LAMR) recorded Non-Current Assets of $6.76 billion in Q2 2026, up 5.1% from $6.43 billion a year earlier and up 0.9% from the prior quarter.
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Analysis
Lamar Advertising (LAMR) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Lamar Advertising reported Non-Current Assets of $6.7 billion, up 5.3% from FY2024.
- Annual Non-Current Assets has increased for five straight years, with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $6.37 billion in FY2024 (+0.1%), $6.36 billion in FY2023 (+4.1%), $6.11 billion in FY2022 (+8.0%) and $5.66 billion in FY2021 (+4.6%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets in data going back to Q4 2009.
- On a year-over-year basis, Non-Current Assets has increased for 19 consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 8.8% in Q2 2022, against a decline of 0.2% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.7 billion (Q1 2026), $6.7 billion (Q4 2025) and $6.64 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | 60.18 Bn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | - |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | 19.80 Bn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn | 11.00 Bn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 6.76 Bn |
| 6 | OUTFRONT Media | 4.89 Bn | 4.65 Bn | 276.40 Mn | 4.86 Bn |
| 7 | Array Digital Infrastructure | 2.92 Bn | 1.81 Bn | 30.57 Mn | 2.93 Bn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn | 2.01 Bn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | - |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | 2.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.76 Bn |
| Mar 31, 2026 | 6.70 Bn |
| Dec 31, 2025 | 6.70 Bn |
| Sep 30, 2025 | 6.64 Bn |
| Jun 30, 2025 | 6.43 Bn |
| Mar 31, 2025 | 6.33 Bn |
| Dec 31, 2024 | 6.37 Bn |
| Sep 30, 2024 | 6.33 Bn |
| Jun 30, 2024 | 6.14 Bn |
| Mar 31, 2024 | 6.15 Bn |
| Dec 31, 2023 | 6.36 Bn |
| Sep 30, 2023 | 6.19 Bn |
| Jun 30, 2023 | 6.12 Bn |
| Mar 31, 2023 | 6.10 Bn |
| Dec 31, 2022 | 6.11 Bn |
| Sep 30, 2022 | 5.87 Bn |
| Jun 30, 2022 | 5.84 Bn |
| Mar 31, 2022 | 5.69 Bn |
| Dec 31, 2021 | 5.66 Bn |
| Sep 30, 2021 | 5.45 Bn |
API Access
Lamar Advertising Non-Current Assets 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=non-current-assets&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();