Carters (CRI) EV to FCF (2011 - 2026)
Carters' EV to FCF came in at 2.86 for Q2 2027, down 47.0% from 5.40 a year earlier and down 57.2% from the prior quarter.
Powered by 
Analysis
Carters (CRI) EV to FCF (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Carters reported EV to FCF of -1.04; for FY2026, it came in at 10.52.
- Going back by year, EV to FCF was 6.38 in FY2024 (+25.5%), 5.08 in FY2023 (-90.6%) and 54.18 in FY2022 (+293.2%).
- The Q2 2027 figure represents the lowest quarterly EV to FCF in data going back to Q1 2015.
- Business Quant data shows CRI's EV to FCF at 6.69 (Q1 2027), 10.52 (Q4 2026) and 9.59 (Q3 2026) in the three quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Carters | 1.15 Bn | -648.09 Mn | 412.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 2.86 |
| Apr 4, 2026 | 6.69 |
| Jan 3, 2026 | 10.52 |
| Sep 27, 2025 | 9.59 |
| Jun 28, 2025 | 5.40 |
| Mar 29, 2025 | 5.18 |
| Dec 28, 2024 | 6.38 |
| Sep 28, 2024 | 8.02 |
| Jun 29, 2024 | 5.46 |
| Mar 30, 2024 | 7.02 |
| Dec 30, 2023 | 5.08 |
| Sep 30, 2023 | 5.24 |
| Jul 1, 2023 | 7.45 |
| Apr 1, 2023 | 10.33 |
| Dec 31, 2022 | 54.18 |
| Jan 1, 2022 | 15.75 |
| Apr 3, 2021 | 11.95 |
| Sep 26, 2020 | 5.03 |
| Jun 27, 2020 | 5.02 |
| Mar 28, 2020 | 8.26 |
API Access
Carters EV to FCF 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-fcf&ticker=CRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=CRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();