Lamar Advertising (LAMR) Long-Term Debt Repayments (2009 - 2026)
Lamar Advertising's Long-Term Debt Repayments was $333,000 in Q2 2026, unchanged from $333,000 a year earlier and unchanged from the prior quarter.
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Analysis
Lamar Advertising (LAMR) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lamar Advertising's Long-Term Debt Repayments was $600 million through Jun 30, 2026, up 71.4% year-over-year; for FY2025, it came in at $600 million, up 71.4% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $350 million in FY2024, $1.33 million in FY2023 (unchanged), $1.33 million in FY2022 (unchanged) and $1.33 million in FY2021 (-99.9%).
- Quarterly Long-Term Debt Repayments has moved between $332,000 (Q3 2021) and $599.33 million (Q3 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last five quarters, with growth averaging 14.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2022 (growth of 82.0%); the worst was Q1 2022 (a decline of 31.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | 3.05 Bn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | -53,000.00 |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | 2.29 Bn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn | - |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 333,000.00 |
| 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 | -24.90 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | - |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | 74,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 333,000.00 |
| Mar 31, 2026 | 333,000.00 |
| Sep 30, 2025 | 599.33 Mn |
| Jun 30, 2025 | 333,000.00 |
| Mar 31, 2025 | 333,000.00 |
| Sep 30, 2024 | 349.33 Mn |
| Jun 30, 2024 | 333,000.00 |
| Mar 31, 2024 | 333,000.00 |
| Dec 31, 2023 | 333,000.00 |
| Sep 30, 2023 | 332,000.00 |
| Jun 30, 2023 | 333,000.00 |
| Mar 31, 2023 | 333,000.00 |
| Dec 31, 2022 | 333,000.00 |
| Sep 30, 2022 | 332,000.00 |
| Jun 30, 2022 | 333,000.00 |
| Mar 31, 2022 | 333,000.00 |
| Dec 31, 2021 | 333,000.00 |
| Sep 30, 2021 | 332,000.00 |
| Jun 30, 2021 | 183,000.00 |
| Mar 31, 2021 | 483,000.00 |
API Access
Lamar Advertising Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();