Lamar Advertising (LAMR) Other Non-Current Liabilities (2009 - 2026)
Lamar Advertising (LAMR) reported Other Non-Current Liabilities of $628.43 million for Q2 2026, up 2.1% from $615.51 million a year earlier and up 0.3% from the prior quarter.
Lamar Advertising (LAMR) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Lamar Advertising posted Other Non-Current Liabilities of $624.93 million, up 1.7% from FY2024.
- Other Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 22.9% (FY2020 to FY2025).
- By year, Other Non-Current Liabilities came in at $614.71 million in FY2024 (+54.5%), $397.99 million in FY2023 (+1.9%), $390.44 million in FY2022 (+44.9%) and $269.37 million in FY2021 (+20.9%).
- The Q2 2026 figure ranks as the highest quarterly Other Non-Current Liabilities in data going back to Q4 2009.
- Year over year, Other Non-Current Liabilities has now increased in each of the last 20 quarters, with growth averaging 28.1% over the last eight quarters.
- The year-over-year growth in Other Non-Current Liabilities has ranged between 1.4% (Q1 2024) and 55.3% (Q1 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $626.54 million (Q1 2026), $624.93 million (Q4 2025) and $623.4 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 628.43 Mn |
| Mar 31, 2026 | 626.54 Mn |
| Dec 31, 2025 | 624.93 Mn |
| Sep 30, 2025 | 623.40 Mn |
| Jun 30, 2025 | 615.51 Mn |
| Mar 31, 2025 | 615.70 Mn |
| Dec 31, 2024 | 614.71 Mn |
| Sep 30, 2024 | 402.47 Mn |
| Jun 30, 2024 | 402.13 Mn |
| Mar 31, 2024 | 396.54 Mn |
| Dec 31, 2023 | 397.99 Mn |
| Sep 30, 2023 | 397.04 Mn |
| Jun 30, 2023 | 392.90 Mn |
| Mar 31, 2023 | 391.21 Mn |
| Dec 31, 2022 | 390.44 Mn |
| Sep 30, 2022 | 278.09 Mn |
| Jun 30, 2022 | 277.49 Mn |
| Mar 31, 2022 | 273.86 Mn |
| Dec 31, 2021 | 269.37 Mn |
| Sep 30, 2021 | 267.02 Mn |
Lamar Advertising Other 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=other-non-current-liabilities&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();