Americold Realty Trust (COLD) EV to CFO (2018 - 2026)
Americold Realty Trust's EV to CFO came in at 12.84 for Q2 2026, up 0.1% from 12.83 a year earlier and up 45.1% from the prior quarter.
Americold Realty Trust (COLD) EV to CFO (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Americold Realty Trust reported EV to CFO of 12.24, down 1.5% year-over-year; for FY2025, it came in at 9.91, down 32.7% from FY2024.
- EV to CFO has declined in each of the last four years.
- Going back by year, EV to CFO was 14.72 in FY2024 (-36.9%), 23.34 in FY2023 (-7.9%), 25.33 in FY2022 (-20.7%) and 31.94 in FY2021 (+34.6%).
- The Q2 2026 figure represents the highest quarterly EV to CFO since Q1 2025.
- Year-over-year, EV to CFO increased in 1 of the last eight quarters, with an average decline of 28.2%.
- The fastest year-over-year change in EV to CFO over five years came in Q3 2021 (growth of 44.4%), and the weakest in Q2 2024 (a decline of 56.9%).
- Business Quant data shows COLD's EV to CFO at 8.85 (Q1 2026), 9.91 (Q4 2025) and 8.90 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.84 |
| Mar 31, 2026 | 8.85 |
| Dec 31, 2025 | 9.91 |
| Sep 30, 2025 | 8.90 |
| Jun 30, 2025 | 12.83 |
| Mar 31, 2025 | 16.05 |
| Dec 31, 2024 | 14.72 |
| Sep 30, 2024 | 18.93 |
| Jun 30, 2024 | 15.01 |
| Mar 31, 2024 | 18.20 |
| Dec 31, 2023 | 23.34 |
| Sep 30, 2023 | 27.66 |
| Jun 30, 2023 | 34.84 |
| Mar 31, 2023 | 23.48 |
| Dec 31, 2022 | 25.33 |
| Sep 30, 2022 | 22.61 |
| Jun 30, 2022 | 28.82 |
| Mar 31, 2022 | 30.77 |
| Dec 31, 2021 | 31.94 |
| Sep 30, 2021 | 32.94 |
Americold Realty Trust EV to CFO 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=ev-to-cfo&ticker=COLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();