Americold Realty Trust (COLD) Net Margin (2017 - 2026)
Americold Realty Trust's Net Margin was -51.71% in Q2 2026, down 51.95 percentage points from 0.24% a year earlier and down 49.56 percentage points from the prior quarter.
Americold Realty Trust (COLD) Net Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Americold Realty Trust's Net Margin was -17.44% through Jun 30, 2026, down 15.35 percentage points year-over-year; for FY2025, it was -4.40%, down 0.87 percentage points from FY2024.
- Net Margin shows a five-year change of -5.64 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -3.54% in FY2024 (+9.04 pp), -12.58% in FY2023 (-11.91 pp), -0.67% in FY2022 (+0.45 pp) and -1.12% in FY2021 (-2.36 pp).
- The Q2 2026 figure marks the lowest quarterly Net Margin in data going back to Q1 2017.
- Compared with a year earlier, Net Margin was higher in three of the last eight quarters, with an average year-over-year change of -3.38 percentage points.
- The best year-over-year quarter for Net Margin over five years was Q4 2024 (a gain of 27.96 percentage points); the worst was Q2 2026 (a drop of 51.95 percentage points).
- Per Business Quant data, COLD's Net Margin in the three quarters before Q2 2026 was -2.15% (Q1 2026), -13.42% (Q4 2025) and -1.71% (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -51.71% |
| Mar 31, 2026 | -2.15% |
| Dec 31, 2025 | -13.42% |
| Sep 30, 2025 | -1.71% |
| Jun 30, 2025 | 0.24% |
| Mar 31, 2025 | -2.60% |
| Dec 31, 2024 | -5.43% |
| Sep 30, 2024 | -0.55% |
| Jun 30, 2024 | -9.70% |
| Mar 31, 2024 | 1.46% |
| Dec 31, 2023 | -33.39% |
| Sep 30, 2023 | -0.31% |
| Jun 30, 2023 | -16.12% |
| Mar 31, 2023 | -0.38% |
| Dec 31, 2022 | 0.41% |
| Sep 30, 2022 | -1.18% |
| Jun 30, 2022 | 0.54% |
| Mar 31, 2022 | -2.47% |
| Dec 31, 2021 | -1.11% |
| Sep 30, 2021 | 0.75% |
Americold Realty Trust Net Margin 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=net-margin&ticker=COLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=COLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();