Lamar Advertising (LAMR) Change in Accured Expenses (2009 - 2026)
Lamar Advertising (LAMR) posted Change in Accured Expenses of $6.68 million for Q2 2026, compared with -$1.14 million a year earlier.
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Analysis
Lamar Advertising (LAMR) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Lamar Advertising was $1.78 million, down 89.7% year-over-year; for FY2025, it came in at $8.11 million, down 57.1% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In prior years, Lamar Advertising's Change in Accured Expenses was $18.9 million in FY2024, -$1.71 million in FY2023, -$10.77 million in FY2022 and $9.55 million in FY2021 (-5.0%).
- Quarterly Change in Accured Expenses has run from a low of -$24.01 million in Q1 2023 to a high of $16.94 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 21.2%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2023, with growth of 266.7%; the weakest was Q3 2022, with a decline of 81.9%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$21.05 million (Q1 2026), $12.29 million (Q4 2025) and $3.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 75.57 Bn | 75.31 Bn | 2.72 Bn | - |
| 2 | Digital Realty Trust | 66.06 Bn | 56.59 Bn | - | 203.16 Mn |
| 3 | Crown Castle | 28.31 Bn | 27.05 Bn | 989.00 Mn | 54.00 Mn |
| 4 | Sba Communications | 16.81 Bn | 16.90 Bn | 539.27 Mn | 13.55 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 6.68 Mn |
| 6 | OUTFRONT Media | 5.05 Bn | 4.82 Bn | 276.40 Mn | 23.70 Mn |
| 7 | Array Digital Infrastructure | 2.97 Bn | 1.87 Bn | 30.57 Mn | -1.15 Mn |
| 8 | IHS Holding | 2.79 Bn | -67.81 Mn | 207.10 Mn | - |
| 9 | Fermi | 2.57 Bn | 1.71 Bn | - | 6.20 Mn |
| 10 | Clear Channel Outdoor Holdings | 1.22 Bn | 503.54 Mn | 241.86 Mn | 28.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.68 Mn |
| Mar 31, 2026 | -21.05 Mn |
| Dec 31, 2025 | 12.29 Mn |
| Sep 30, 2025 | 3.87 Mn |
| Jun 30, 2025 | -1.14 Mn |
| Mar 31, 2025 | -6.91 Mn |
| Dec 31, 2024 | 16.94 Mn |
| Sep 30, 2024 | 8.39 Mn |
| Jun 30, 2024 | 13.94 Mn |
| Mar 31, 2024 | -20.36 Mn |
| Dec 31, 2023 | 6.34 Mn |
| Sep 30, 2023 | 8.48 Mn |
| Jun 30, 2023 | 7.48 Mn |
| Mar 31, 2023 | -24.01 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 7.41 Mn |
| Mar 31, 2022 | -22.50 Mn |
| Dec 31, 2021 | 5.94 Mn |
| Sep 30, 2021 | 12.79 Mn |
API Access
Lamar Advertising Change in Accured Expenses 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=change-in-accured-expenses&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();