Gildan Activewear (GIL) EV to CFO (2009 - 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.
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Analysis
Gildan Activewear (GIL) EV to CFO (2009 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.63 Bn | 21.83 Bn | 4.80 Bn |
| 2 | Tapestry | 23.83 Bn | 19.78 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.88 Bn | 14.98 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.15 Bn | - |
| 5 | Lululemon Athletica | 10.96 Bn | 5.21 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.52 Bn | 5.44 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn |
| 10 | Crocs | 5.88 Bn | 5.29 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 16.05 |
| Mar 29, 2026 | 95.63 |
| Dec 28, 2025 | 21.98 |
| Jun 29, 2025 | 49.56 |
| Mar 30, 2025 | 34.61 |
| Jun 30, 2024 | 9.56 |
| Mar 31, 2024 | 8.84 |
| Dec 31, 2023 | 10.12 |
| Oct 1, 2023 | 9.92 |
| Jul 2, 2023 | 22.22 |
| Apr 2, 2023 | 20.63 |
| Jan 1, 2023 | 11.54 |
| Oct 2, 2022 | 14.19 |
| Jul 3, 2022 | 9.88 |
| Apr 3, 2022 | 12.72 |
| Jan 2, 2022 | 12.91 |
| Oct 3, 2021 | 9.18 |
| Jul 4, 2021 | 10.75 |
| Apr 4, 2021 | 8.79 |
| Jan 3, 2021 | 12.17 |
API Access
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_KEYimport 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();