Lamar Advertising (LAMR) Cash & Equivalents (2009 - 2026)
Lamar Advertising (LAMR) reported Cash & Equivalents of $67.95 million for Q2 2026, up 21.9% from $55.73 million a year earlier and up 73.0% from the prior quarter.
Lamar Advertising (LAMR) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Lamar Advertising posted Cash & Equivalents of $64.81 million, up 31.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $49.46 million in FY2024 (+10.9%), $44.61 million in FY2023 (-15.2%), $52.62 million in FY2022 (-47.3%) and $99.79 million in FY2021 (-17.9%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q2 2024.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with an average decline of 0.9% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2022 (growth of 169.2%); the low point was Q1 2023 (a decline of 71.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $39.27 million (Q1 2026), $64.81 million (Q4 2025) and $22.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 75.57 Bn | 75.31 Bn | 2.72 Bn | 1.76 Bn |
| 2 | Digital Realty Trust | 66.06 Bn | 56.59 Bn | - | 1.86 Bn |
| 3 | Crown Castle | 28.31 Bn | 27.05 Bn | 989.00 Mn | 1.04 Bn |
| 4 | Sba Communications | 16.81 Bn | 16.90 Bn | 539.27 Mn | 327.05 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 67.95 Mn |
| 6 | OUTFRONT Media | 5.05 Bn | 4.82 Bn | 276.40 Mn | 31.20 Mn |
| 7 | Array Digital Infrastructure | 2.97 Bn | 1.87 Bn | 30.57 Mn | 416.44 Mn |
| 8 | IHS Holding | 2.79 Bn | -67.81 Mn | 207.10 Mn | 1.07 Bn |
| 9 | Fermi | 2.57 Bn | 1.71 Bn | - | 62.54 Mn |
| 10 | Clear Channel Outdoor Holdings | 1.22 Bn | 503.54 Mn | 241.86 Mn | 192.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.95 Mn |
| Mar 31, 2026 | 39.27 Mn |
| Dec 31, 2025 | 64.81 Mn |
| Sep 30, 2025 | 22.02 Mn |
| Jun 30, 2025 | 55.73 Mn |
| Mar 31, 2025 | 36.12 Mn |
| Dec 31, 2024 | 49.46 Mn |
| Sep 30, 2024 | 29.51 Mn |
| Jun 30, 2024 | 77.93 Mn |
| Mar 31, 2024 | 36.41 Mn |
| Dec 31, 2023 | 44.61 Mn |
| Sep 30, 2023 | 39.40 Mn |
| Jun 30, 2023 | 47.78 Mn |
| Mar 31, 2023 | 33.52 Mn |
| Dec 31, 2022 | 52.62 Mn |
| Sep 30, 2022 | 79.36 Mn |
| Jun 30, 2022 | 91.69 Mn |
| Mar 31, 2022 | 115.88 Mn |
| Dec 31, 2021 | 99.79 Mn |
| Sep 30, 2021 | 87.57 Mn |
Lamar Advertising Cash & Equivalents 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=cash-and-equivalents&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();