Carters (CRI) EV to EBITDA (2011 - 2026)
Carters' (CRI) EV to EBITDA came in at 2.49 for Q2 2027, down 19.3% from 3.08 a year earlier and down 40.9% from the prior quarter.
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Analysis
Carters (CRI) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, EV to EBITDA at Carters was -0.91; for FY2026, it came in at 3.63.
- In prior years, Carters' EV to EBITDA was 4.95 in FY2024 (-19.5%), 6.16 in FY2023 (+5.2%) and 5.85 in FY2022 (+8.7%).
- The Q2 2027 figure stands as the lowest quarterly EV to EBITDA in data going back to Q1 2015.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 4.21 (Q1 2027), 3.63 (Q4 2026) and 4.47 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn |
| 10 | Carters | 1.14 Bn | -659.10 Mn | 412.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 2.49 |
| Apr 4, 2026 | 4.21 |
| Jan 3, 2026 | 3.63 |
| Sep 27, 2025 | 4.47 |
| Jun 28, 2025 | 3.08 |
| Mar 29, 2025 | 4.06 |
| Dec 28, 2024 | 4.95 |
| Sep 28, 2024 | 6.07 |
| Jun 29, 2024 | 5.02 |
| Mar 30, 2024 | 7.35 |
| Dec 30, 2023 | 6.16 |
| Sep 30, 2023 | 6.60 |
| Jul 1, 2023 | 7.03 |
| Apr 1, 2023 | 6.41 |
| Dec 31, 2022 | 5.85 |
| Oct 1, 2022 | 3.06 |
| Jul 2, 2022 | 3.09 |
| Apr 2, 2022 | 3.35 |
| Jan 1, 2022 | 3.99 |
| Apr 3, 2021 | 10.44 |
API Access
Carters EV to EBITDA 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-ebitda&ticker=CRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=CRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();