Carters (CRI) EV to CFO (2011 - 2026)
Carters' (CRI) EV to CFO came in at 2.52 for Q2 2027, down 33.9% from 3.81 a year earlier and down 47.4% from the prior quarter.
Analysis
Carters (CRI) EV to CFO (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, EV to CFO at Carters was -0.92; for FY2026, it came in at 5.90.
- In prior years, Carters' EV to CFO was 5.18 in FY2024 (+15.0%), 4.51 in FY2023 (-84.7%) and 29.43 in FY2022 (+148.2%).
- The Q2 2027 figure stands as the lowest quarterly EV to CFO in data going back to Q1 2015.
- According to Business Quant data, EV to CFO for the three prior quarters was 4.79 (Q1 2027), 5.90 (Q4 2026) and 5.84 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Carters | 1.15 Bn | -650.66 Mn | 412.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 2.52 |
| Apr 4, 2026 | 4.79 |
| Jan 3, 2026 | 5.90 |
| Sep 27, 2025 | 5.84 |
| Jun 28, 2025 | 3.81 |
| Mar 29, 2025 | 4.15 |
| Dec 28, 2024 | 5.18 |
| Sep 28, 2024 | 6.65 |
| Jun 29, 2024 | 4.69 |
| Mar 30, 2024 | 6.14 |
| Dec 30, 2023 | 4.51 |
| Sep 30, 2023 | 4.67 |
| Jul 1, 2023 | 6.49 |
| Apr 1, 2023 | 8.70 |
| Dec 31, 2022 | 29.43 |
| Jan 1, 2022 | 13.09 |
| Apr 3, 2021 | 10.37 |
| Sep 26, 2020 | 4.71 |
| Jun 27, 2020 | 4.51 |
| Mar 28, 2020 | 6.78 |
API Access
Carters EV to CFO 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=ev-to-cfo&ticker=CRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=CRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();