Carters (CRI) Price to Earnings (2010 - 2026)
Carters' Price to Earnings came in at 7.65 for Q2 2027, down 5.2% from 8.07 a year earlier and down 47.6% from the prior quarter.
Analysis
Carters (CRI) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2026, Carters' Price to Earnings was 13.17.
- Going back by year, Price to Earnings was 10.58 in FY2024 (-10.2%), 11.77 in FY2023 (+4.7%) and 11.25 in FY2022 (-8.3%).
- The Q2 2027 figure represents the lowest quarterly Price to Earnings in data going back to Q2 2011.
- Business Quant data shows CRI's Price to Earnings at 14.61 (Q1 2027), 13.17 (Q4 2026) and 11.97 (Q3 2026) in the three quarters before Q2 2027.
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 |
|---|---|
| Jul 4, 2026 | 7.65 |
| Apr 4, 2026 | 14.61 |
| Jan 3, 2026 | 13.17 |
| Sep 27, 2025 | 11.97 |
| Jun 28, 2025 | 8.07 |
| Mar 29, 2025 | 8.99 |
| Dec 28, 2024 | 10.58 |
| Sep 28, 2024 | 10.42 |
| Jun 29, 2024 | 9.43 |
| Mar 30, 2024 | 13.21 |
| Dec 30, 2023 | 11.77 |
| Sep 30, 2023 | 12.40 |
| Jul 1, 2023 | 13.23 |
| Apr 1, 2023 | 12.46 |
| Dec 31, 2022 | 11.25 |
| Oct 1, 2022 | 5.05 |
| Jul 2, 2022 | 5.36 |
| Apr 2, 2022 | 6.54 |
| Jan 1, 2022 | 7.28 |
| Oct 2, 2021 | 13.19 |
API Access
Carters Price to Earnings 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-earnings&ticker=CRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();