Americold Realty Trust (COLD) Price to Book (2018 - 2026)
Americold Realty Trust's (COLD) Price to Book came in at 1.83 for Q2 2026, up 21.6% from 1.51 a year earlier and up 60.1% from the prior quarter.
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Analysis
Americold Realty Trust (COLD) Price to Book (2018 - 2026) Analysis & Trends
For FY2025, Americold Realty Trust's Price to Book stood at 1.25, down 31.8% from FY2024.
- In prior years, Americold Realty Trust's Price to Book was 1.84 in FY2024 (-22.1%), 2.36 in FY2023 (+17.2%), 2.02 in FY2022 (-7.6%) and 2.18 in FY2021 (+9.1%).
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q1 2025.
- On a year-over-year basis, Price to Book increased in two of the last eight quarters, with an average decline of 18.4%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q3 2023, with growth of 26.0%; the weakest was Q3 2025, with a decline of 52.0%.
- According to Business Quant data, Price to Book for the three prior quarters was 1.14 (Q1 2026), 1.25 (Q4 2025) and 1.14 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.83 |
| Mar 31, 2026 | 1.14 |
| Dec 31, 2025 | 1.25 |
| Sep 30, 2025 | 1.14 |
| Jun 30, 2025 | 1.51 |
| Mar 31, 2025 | 1.90 |
| Dec 31, 2024 | 1.84 |
| Sep 30, 2024 | 2.37 |
| Jun 30, 2024 | 2.09 |
| Mar 31, 2024 | 1.97 |
| Dec 31, 2023 | 2.36 |
| Sep 30, 2023 | 2.18 |
| Jun 30, 2023 | 2.43 |
| Mar 31, 2023 | 2.06 |
| Dec 31, 2022 | 2.02 |
| Sep 30, 2022 | 1.73 |
| Jun 30, 2022 | 2.07 |
| Mar 31, 2022 | 1.89 |
| Dec 31, 2021 | 2.18 |
| Sep 30, 2021 | 1.93 |
API Access
Americold Realty Trust Price to Book 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=price-to-book&ticker=COLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();