Americold Realty Trust (COLD) Other non-cash items (2017 - 2026)
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Analysis
Americold Realty Trust (COLD) Other non-cash items (2017 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.10 Mn |
| Mar 31, 2026 | 8.54 Mn |
| Dec 31, 2025 | 9.45 Mn |
| Sep 30, 2025 | 9.53 Mn |
| Jun 30, 2025 | 9.66 Mn |
| Mar 31, 2025 | 9.29 Mn |
| Dec 31, 2024 | 14.46 Mn |
| Mar 31, 2024 | 15.71 Mn |
| Dec 31, 2023 | 11.12 Mn |
| Jun 30, 2023 | 56.58 Mn |
| Mar 31, 2023 | 11.17 Mn |
| Dec 31, 2022 | 56.67 Mn |
| Mar 31, 2022 | 291,000.00 |
| Dec 31, 2021 | 55.00 Mn |
| Sep 30, 2021 | 2.80 Mn |
| Jun 30, 2021 | 140,000.00 |
| Mar 31, 2021 | 3.91 Mn |
| Dec 31, 2020 | 50.16 Mn |
| Sep 30, 2020 | 200,000.00 |
| Jun 30, 2020 | -315,000.00 |
API Access
Americold Realty Trust Other non-cash items 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=other-non-cash-items&ticker=COLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();