Lamar Advertising (LAMR) Total Non-Current Liabilities (2009 - 2026)
Lamar Advertising (LAMR) reported Total Non-Current Liabilities of $5.21 billion for Q2 2026, up 4.5% from $4.98 billion a year earlier and up 0.2% from the prior quarter.
Lamar Advertising (LAMR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Lamar Advertising posted Total Non-Current Liabilities of $5.11 billion, up 7.4% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.76 billion in FY2024 (+2.7%), $4.63 billion in FY2023 (-5.2%), $4.89 billion in FY2022 (+7.2%) and $4.56 billion in FY2021 (+4.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Year over year, Total Non-Current Liabilities has now increased in each of the last five quarters, with growth averaging 2.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 11.8%); the low point was Q3 2024 (a decline of 8.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.2 billion (Q1 2026), $5.11 billion (Q4 2025) and $5.08 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 78.00 Bn | 77.74 Bn | 2.72 Bn | 50.52 Bn |
| 2 | Digital Realty Trust | 65.33 Bn | 55.85 Bn | - | 25.78 Bn |
| 3 | Crown Castle | 28.57 Bn | 27.31 Bn | 989.00 Mn | 24.18 Bn |
| 4 | Sba Communications | 17.27 Bn | 17.36 Bn | 539.27 Mn | 11.95 Bn |
| 5 | Lamar Advertising | 12.72 Bn | 12.54 Bn | 422.53 Mn | 5.21 Bn |
| 6 | OUTFRONT Media | 4.93 Bn | 4.69 Bn | 276.40 Mn | 4.53 Bn |
| 7 | Array Digital Infrastructure | 2.93 Bn | 1.83 Bn | 30.57 Mn | 1.80 Bn |
| 8 | IHS Holding | 2.81 Bn | -54.39 Mn | 207.10 Mn | 3.32 Bn |
| 9 | Fermi | 2.73 Bn | 1.87 Bn | - | 726.08 Mn |
| 10 | Clear Channel Outdoor Holdings | 1.19 Bn | 478.09 Mn | 241.86 Mn | 7.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.21 Bn |
| Mar 31, 2026 | 5.20 Bn |
| Dec 31, 2025 | 5.11 Bn |
| Sep 30, 2025 | 5.08 Bn |
| Jun 30, 2025 | 4.98 Bn |
| Mar 31, 2025 | 4.80 Bn |
| Dec 31, 2024 | 4.76 Bn |
| Sep 30, 2024 | 4.57 Bn |
| Jun 30, 2024 | 4.98 Bn |
| Mar 31, 2024 | 4.94 Bn |
| Dec 31, 2023 | 4.63 Bn |
| Sep 30, 2023 | 4.99 Bn |
| Jun 30, 2023 | 4.96 Bn |
| Mar 31, 2023 | 4.89 Bn |
| Dec 31, 2022 | 4.89 Bn |
| Sep 30, 2022 | 4.73 Bn |
| Jun 30, 2022 | 4.76 Bn |
| Mar 31, 2022 | 4.60 Bn |
| Dec 31, 2021 | 4.56 Bn |
| Sep 30, 2021 | 4.31 Bn |
Lamar Advertising Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();