Gildan Activewear (GIL) EV to CFO (2013 - 2026)
Gildan Activewear's (GIL) EV to CFO was 21.70 for the quarter ended Jun 28, 2026, down 46.1% from the prior quarter.
Gildan Activewear (GIL) EV to CFO (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Gildan Activewear's EV to CFO came in at 19.65; for the year ended Dec 28, 2025, it came in at 0.02, down 99.9% from the prior year.
- By year, EV to CFO came in at 28.08 in the year ended Dec 28, 2024 (+165.5%), 10.57 in the year ended Dec 30, 2023 and 13.31 in the year ended Dec 31, 2021 (-0.6%).
- The figure for the quarter ended Jun 28, 2026 ranks as the lowest quarterly EV to CFO since the quarter ended Mar 31, 2024.
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 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 13.19 |
| Mar 29, 2026 | 78.63 |
| Dec 28, 2025 | 18.07 |
| Jun 29, 2025 | 49.56 |
| Mar 30, 2025 | 34.61 |
| Jun 30, 2024 | 12.42 |
| Mar 31, 2024 | 11.96 |
| Dec 31, 2023 | 7.62 |
| Jan 2, 2022 | 28.73 |
| Sep 27, 2020 | 9.72 |
| Jun 28, 2020 | 6.66 |
| Mar 29, 2020 | 7.90 |
| Dec 29, 2019 | 16.14 |
| Sep 29, 2019 | 19.15 |
| Jun 30, 2019 | 19.60 |
| Mar 31, 2019 | 24.12 |
| Dec 30, 2018 | 10.19 |
| Sep 30, 2018 | 11.19 |
| Mar 31, 2018 | 11.12 |
| Dec 31, 2017 | 10.16 |
Gildan Activewear 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=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "GIL", "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=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();