Lamar Advertising (LAMR) Receivables (2009 - 2026)
Lamar Advertising's Receivables was $377.54 million in Q2 2026, up 9.2% from $345.87 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Lamar Advertising (LAMR) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Lamar Advertising came in at $341.59 million, up 2.0% from FY2024.
- Receivables has now increased for five consecutive years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In earlier years, Receivables was $334.96 million in FY2024 (+11.1%), $301.46 million in FY2023 (+5.7%), $285.2 million in FY2022 (+5.7%) and $269.92 million in FY2021 (+12.1%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2009.
- Compared with a year earlier, Receivables has increased for three straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q2 2022 (growth of 17.8%); the worst was Q3 2025 (a decline of 3.0%).
- Per Business Quant data, LAMR's Receivables in the three quarters before Q2 2026 was $323.56 million (Q1 2026), $341.59 million (Q4 2025) and $340.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | 851.30 Mn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | 1.79 Bn |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | 179.00 Mn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn | 200.55 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 377.54 Mn |
| 6 | OUTFRONT Media | 4.89 Bn | 4.65 Bn | 276.40 Mn | 352.30 Mn |
| 7 | Array Digital Infrastructure | 2.92 Bn | 1.81 Bn | 30.57 Mn | 15.67 Mn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn | 196.10 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | - |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | 367.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.54 Mn |
| Mar 31, 2026 | 323.56 Mn |
| Dec 31, 2025 | 341.59 Mn |
| Sep 30, 2025 | 340.76 Mn |
| Jun 30, 2025 | 345.87 Mn |
| Mar 31, 2025 | 308.14 Mn |
| Dec 31, 2024 | 334.96 Mn |
| Sep 30, 2024 | 351.23 Mn |
| Jun 30, 2024 | 318.46 Mn |
| Mar 31, 2024 | 298.51 Mn |
| Dec 31, 2023 | 301.46 Mn |
| Sep 30, 2023 | 310.17 Mn |
| Jun 30, 2023 | 322.19 Mn |
| Mar 31, 2023 | 259.44 Mn |
| Dec 31, 2022 | 285.20 Mn |
| Sep 30, 2022 | 294.84 Mn |
| Jun 30, 2022 | 303.32 Mn |
| Mar 31, 2022 | 255.64 Mn |
| Dec 31, 2021 | 269.92 Mn |
| Sep 30, 2021 | 262.66 Mn |
API Access
Lamar Advertising Receivables 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=receivables&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();