American Tower (AMT) Selling, General & Administrative (2009 - 2026)
American Tower (AMT) recorded Selling, General & Administrative of $233.8 million in Q2 2026, unchanged from $233.7 million a year earlier and down 9.2% from the prior quarter.
American Tower (AMT) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, American Tower's Selling, General & Administrative came in at $960.7 million as of Jun 30, 2026, up 2.0% year-over-year; for FY2025, it was $940.7 million, up 0.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $933.4 million in FY2024 (-1.3%), $946 million in FY2023 (+4.9%), $902.1 million in FY2022 (+11.2%) and $811.6 million in FY2021 (+4.2%).
- Quarterly Selling, General & Administrative has ranged from $154.1 million in Q4 2022 to $293.9 million in Q1 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in four of the last eight quarters, with growth averaging 1.9%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 61.0% in Q1 2022, against a decline of 28.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $257.4 million (Q1 2026), $236.5 million (Q4 2025) and $233 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 75.57 Bn | 75.31 Bn | 2.72 Bn | 233.80 Mn |
| 2 | Digital Realty Trust | 66.06 Bn | 56.59 Bn | - | 157.70 Mn |
| 3 | Crown Castle | 28.31 Bn | 27.05 Bn | 989.00 Mn | 97.00 Mn |
| 4 | Sba Communications | 16.81 Bn | 16.90 Bn | 539.27 Mn | 77.55 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 96.23 Mn |
| 6 | OUTFRONT Media | 5.05 Bn | 4.82 Bn | 276.40 Mn | 123.00 Mn |
| 7 | Array Digital Infrastructure | 2.97 Bn | 1.87 Bn | 30.57 Mn | 22.91 Mn |
| 8 | IHS Holding | 2.79 Bn | -67.81 Mn | 207.10 Mn | -125.40 Mn |
| 9 | Fermi | 2.57 Bn | 1.71 Bn | - | 26.76 Mn |
| 10 | Clear Channel Outdoor Holdings | 1.22 Bn | 503.54 Mn | 241.86 Mn | 69.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 233.80 Mn |
| Mar 31, 2026 | 257.40 Mn |
| Dec 31, 2025 | 236.50 Mn |
| Sep 30, 2025 | 233.00 Mn |
| Jun 30, 2025 | 233.70 Mn |
| Mar 31, 2025 | 237.50 Mn |
| Dec 31, 2024 | 243.10 Mn |
| Sep 30, 2024 | 227.70 Mn |
| Jun 30, 2024 | 218.30 Mn |
| Mar 31, 2024 | 244.30 Mn |
| Dec 31, 2023 | 245.20 Mn |
| Sep 30, 2023 | 220.30 Mn |
| Jun 30, 2023 | 244.40 Mn |
| Mar 31, 2023 | 263.90 Mn |
| Dec 31, 2022 | 154.10 Mn |
| Sep 30, 2022 | 231.20 Mn |
| Jun 30, 2022 | 222.90 Mn |
| Mar 31, 2022 | 293.90 Mn |
| Dec 31, 2021 | 215.90 Mn |
| Sep 30, 2021 | 205.90 Mn |
American Tower Selling, General & Administrative 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=selling-general-and-administrative&ticker=AMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();