Carters (CRI) Gains from Sales and Divestitures (2009 - 2026)
Carters (CRI) posted Gains from Sales and Divestitures of -$168,000 for Q4 2026.
Analysis
Carters (CRI) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
For FY2026, Carters' Gains from Sales and Divestitures came in at -$189,000.
- In prior years, Carters' Gains from Sales and Divestitures was -$865,000 in FY2024 and -$3.08 million in FY2023.
- The Q4 2026 figure stands as the lowest quarterly Gains from Sales and Divestitures since Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | Carters | 1.16 Bn | -638.17 Mn | 412.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 3, 2026 | -168,000.00 |
| Sep 27, 2025 | -25,000.00 |
| Dec 28, 2024 | -630,000.00 |
| Sep 28, 2024 | -148,000.00 |
| Jun 29, 2019 | 48,000.00 |
| Mar 30, 2019 | -433,000.00 |
| Dec 29, 2018 | -479,000.00 |
| Sep 29, 2018 | -38,000.00 |
| Jun 30, 2018 | -128,000.00 |
| Mar 31, 2018 | -350,000.00 |
| Dec 30, 2017 | -970,000.00 |
| Sep 30, 2017 | -381,000.00 |
| Jul 1, 2017 | -32,000.00 |
| Apr 1, 2017 | -189,000.00 |
| Dec 31, 2016 | -346,000.00 |
| Oct 1, 2016 | -688,000.00 |
| Jul 2, 2016 | 59,000.00 |
| Apr 2, 2016 | -192,000.00 |
| Jan 2, 2016 | -329,000.00 |
| Apr 4, 2015 | -52,000.00 |
API Access
Carters Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=CRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "CRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=CRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();