Americold Realty Trust (COLD) Dividends Paid - Common and Preferred (2017 - 2026)
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Analysis
Americold Realty Trust (COLD) Dividends Paid - Common and Preferred (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.49 Mn |
| Mar 31, 2026 | 66.10 Mn |
| Dec 31, 2025 | 65.65 Mn |
| Sep 30, 2025 | 66.10 Mn |
| Jun 30, 2025 | 66.23 Mn |
| Mar 31, 2025 | 63.40 Mn |
| Dec 31, 2024 | 62.94 Mn |
| Sep 30, 2024 | 63.00 Mn |
| Jun 30, 2024 | 63.14 Mn |
| Mar 31, 2024 | 63.04 Mn |
| Dec 31, 2023 | 62.66 Mn |
| Sep 30, 2023 | 59.76 Mn |
| Jun 30, 2023 | 59.74 Mn |
| Mar 31, 2023 | 60.06 Mn |
| Dec 31, 2022 | 59.09 Mn |
| Sep 30, 2022 | 60.10 Mn |
| Jun 30, 2022 | 59.59 Mn |
| Mar 31, 2022 | 59.94 Mn |
| Dec 31, 2021 | 58.98 Mn |
| Sep 30, 2021 | 57.73 Mn |
API Access
Americold Realty Trust Dividends Paid - Common and Preferred 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=dividends-paid-common-and-preferred&ticker=COLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-preferred", "ticker": "COLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividends-paid-common-and-preferred&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();