Americold Realty Trust (COLD) Capital Expenditures (2017 - 2026)
Americold Realty Trust (COLD) reported Capital Expenditures of $140.44 million for Q2 2026, down 21.0% from $177.68 million a year earlier but up 27.7% from the prior quarter.
Americold Realty Trust (COLD) Capital Expenditures (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Americold Realty Trust's Capital Expenditures came in at $537.05 million, up 9.5% year-over-year; for FY2025, it was $576.85 million, up 86.4% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $309.46 million in FY2024 (+17.0%), $264.47 million in FY2023 (-14.2%), $308.37 million in FY2022 (-29.6%) and $438.19 million in FY2021 (+16.3%).
- Five-year quarterly Capital Expenditures spans a low of $45.75 million in Q1 2024 and a high of $177.68 million in Q2 2025.
- Year over year, Capital Expenditures gained in six of the last eight quarters, with growth averaging 60.8%.
- The high point for year-over-year Capital Expenditures in five years was Q2 2025 (growth of 180.5%); the low point was Q4 2022 (a decline of 56.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $109.99 million (Q1 2026), $142.36 million (Q4 2025) and $144.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.16 Bn | 144.65 Bn | 1.39 Bn | 5.21 Bn |
| 2 | Prologis | 124.58 Bn | 119.62 Bn | - | 799.74 Mn |
| 3 | Simon Property | 65.25 Bn | 61.10 Bn | - | 208.40 Mn |
| 4 | Realty Income | 51.29 Bn | 49.51 Bn | - | 1.90 Bn |
| 5 | Public Storage | 50.70 Bn | 49.69 Bn | - | 185.52 Mn |
| 6 | Ventas | 41.01 Bn | 39.69 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 28.20 Bn | 28.20 Bn | 642.43 Mn | 158.83 Mn |
| 8 | Vici Properties | 25.00 Bn | 23.12 Bn | 1.05 Bn | 141.09 Mn |
| 9 | Vivmark Residential | 22.90 Bn | 22.68 Bn | - | 98.33 Mn |
| 10 | Americold Realty Trust | 4.01 Bn | 3.76 Bn | 212.69 Mn | 140.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.44 Mn |
| Mar 31, 2026 | 109.99 Mn |
| Dec 31, 2025 | 142.36 Mn |
| Sep 30, 2025 | 144.27 Mn |
| Jun 30, 2025 | 177.68 Mn |
| Mar 31, 2025 | 112.54 Mn |
| Dec 31, 2024 | 105.20 Mn |
| Sep 30, 2024 | 95.16 Mn |
| Jun 30, 2024 | 63.34 Mn |
| Mar 31, 2024 | 45.75 Mn |
| Dec 31, 2023 | 76.15 Mn |
| Sep 30, 2023 | 60.34 Mn |
| Jun 30, 2023 | 58.71 Mn |
| Mar 31, 2023 | 69.26 Mn |
| Dec 31, 2022 | 54.25 Mn |
| Sep 30, 2022 | 72.40 Mn |
| Jun 30, 2022 | 88.69 Mn |
| Mar 31, 2022 | 93.02 Mn |
| Dec 31, 2021 | 124.96 Mn |
| Sep 30, 2021 | 105.94 Mn |
Americold Realty Trust Capital Expenditures 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=capital-expenditures&ticker=COLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();