Americold Realty Trust (COLD) Pension (2017 - 2023)
Americold Realty Trust (COLD) recorded Pension of $1.62 million in Q4 2023, up 6.1% from $1.53 million a year earlier but down 32.3% from the prior quarter.
Analysis
Americold Realty Trust (COLD) Pension (2017 - 2023) Analysis & Trends
Starting with Q4 2017, Americold Realty Trust's Pension history includes 25 quarters.
- Annual Pension has a five-year compound annual growth rate of -37.0% (FY2018 to FY2023).
- Across earlier years, Pension came in at $1.53 million in FY2022 (-46.1%), $2.84 million in FY2021 (-68.9%), $9.15 million in FY2020 (-28.0%) and $12.71 million in FY2019 (-22.1%).
- Quarterly Pension has ranged from $1.53 million in Q4 2022 to $17.14 million in Q2 2019 over the past five years.
- On a year-over-year basis, Pension rose in 1 of the last eight quarters, with an average decline of 42.1%.
- Peak year-over-year performance for Pension in the last five years was growth of 13.7% in Q3 2019, against a decline of 68.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.4 million (Q3 2023), $1.58 million (Q2 2023) and $1.56 million (Q1 2023).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.62 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.56 Mn |
| Dec 31, 2022 | 1.53 Mn |
| Sep 30, 2022 | 2.62 Mn |
| Jun 30, 2022 | 3.05 Mn |
| Mar 31, 2022 | 3.06 Mn |
| Dec 31, 2021 | 2.84 Mn |
| Sep 30, 2021 | 7.25 Mn |
| Jun 30, 2021 | 7.88 Mn |
| Mar 31, 2021 | 8.98 Mn |
| Dec 31, 2020 | 9.15 Mn |
| Sep 30, 2020 | 9.59 Mn |
| Jun 30, 2020 | 11.00 Mn |
| Mar 31, 2020 | 11.88 Mn |
| Dec 31, 2019 | 12.71 Mn |
| Sep 30, 2019 | 16.26 Mn |
| Jun 30, 2019 | 17.14 Mn |
| Mar 31, 2019 | 15.72 Mn |
API Access
Americold Realty Trust Pension 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=pension&ticker=COLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();