Americold Realty Trust (COLD) Accumulated Depreciation (2016 - 2026)
Americold Realty Trust's Accumulated Depreciation was $2.79 billion in Q2 2026, up 6.6% from $2.62 billion a year earlier and up 2.8% from the prior quarter.
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Analysis
Americold Realty Trust (COLD) Accumulated Depreciation (2016 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Depreciation at Americold Realty Trust came in at $2.64 billion, up 7.6% from FY2024.
- Accumulated Depreciation has now increased for nine consecutive years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In earlier years, Accumulated Depreciation was $2.45 billion in FY2024 (+11.7%), $2.2 billion in FY2023 (+15.5%), $1.9 billion in FY2022 (+16.3%) and $1.63 billion in FY2021 (+18.3%).
- The Q2 2026 figure marks the highest quarterly Accumulated Depreciation in data going back to Q4 2017.
- Compared with a year earlier, Accumulated Depreciation has increased for 20 straight quarters, with growth averaging 10.4% over the last eight quarters.
- The year-over-year growth in Accumulated Depreciation has ranged between 6.6% (Q2 2026) and 18.5% (Q1 2022) over the last five years.
- Per Business Quant data, COLD's Accumulated Depreciation in the three quarters before Q2 2026 was $2.72 billion (Q1 2026), $2.64 billion (Q4 2025) and $2.68 billion (Q3 2025).
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Bn |
| Mar 31, 2026 | 2.72 Bn |
| Dec 31, 2025 | 2.64 Bn |
| Sep 30, 2025 | 2.68 Bn |
| Jun 30, 2025 | 2.62 Bn |
| Mar 31, 2025 | 2.53 Bn |
| Dec 31, 2024 | 2.45 Bn |
| Sep 30, 2024 | 2.41 Bn |
| Jun 30, 2024 | 2.33 Bn |
| Mar 31, 2024 | 2.26 Bn |
| Dec 31, 2023 | 2.20 Bn |
| Sep 30, 2023 | 2.11 Bn |
| Jun 30, 2023 | 2.04 Bn |
| Mar 31, 2023 | 1.97 Bn |
| Dec 31, 2022 | 1.90 Bn |
| Sep 30, 2022 | 1.83 Bn |
| Jun 30, 2022 | 1.77 Bn |
| Mar 31, 2022 | 1.71 Bn |
| Dec 31, 2021 | 1.63 Bn |
| Sep 30, 2021 | 1.56 Bn |
API Access
Americold Realty Trust Accumulated Depreciation 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=accumulated-depreciation&ticker=COLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();