American Tower Corp /Ma/ (AMT) Change in Accrued Expenses (2011 - 2021)
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Analysis
American Tower Corp /Ma/ (AMT) Change in Accrued Expenses (2011 - 2021) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -17.00 Mn |
| Sep 30, 2021 | -50.30 Mn |
| Jun 30, 2021 | 70.80 Mn |
| Mar 31, 2021 | 39.40 Mn |
| Dec 31, 2020 | 16.00 Mn |
| Sep 30, 2020 | -137.50 Mn |
| Jun 30, 2020 | 41.10 Mn |
| Mar 31, 2020 | 11.20 Mn |
| Dec 31, 2019 | 11.10 Mn |
| Sep 30, 2019 | -2.70 Mn |
| Jun 30, 2019 | 57.60 Mn |
| Mar 31, 2019 | -112.80 Mn |
| Dec 31, 2018 | 39.40 Mn |
| Sep 30, 2018 | -17.30 Mn |
| Jun 30, 2018 | 22.20 Mn |
| Mar 31, 2018 | 25.00 Mn |
| Dec 31, 2017 | 17.70 Mn |
| Sep 30, 2017 | 12.70 Mn |
| Jun 30, 2017 | 86.60 Mn |
| Mar 31, 2017 | -21.20 Mn |
API Access
American Tower Corp /Ma/ Change in Accrued 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-accrued-expenses&ticker=AMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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=change-in-accrued-expenses&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();