Gildan Activewear (GIL) EV to EBITDA (2009 - 2026)
Gildan Activewear's (GIL) EV to EBITDA stood at 11.57 in the quarter ended Jun 28, 2026, down 15.5% from the prior quarter.
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Analysis
Gildan Activewear (GIL) EV to EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Gildan Activewear's EV to EBITDA came in at 10.47 as of Jun 28, 2026; for the year ended Dec 28, 2025, it came in at 0.06.
- Across earlier years, EV to EBITDA came in at 19.96 in the year ended Jun 30, 2024, 5.75 in the year ended Dec 31, 2022 (-44.9%) and 10.44 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 28, 2026 is the lowest quarterly EV to EBITDA since the quarter ended Mar 30, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 14.08 |
| Mar 29, 2026 | 16.64 |
| Dec 28, 2025 | 16.03 |
| Jun 29, 2025 | 11.05 |
| Mar 30, 2025 | 10.61 |
| Jun 30, 2024 | 8.85 |
| Mar 31, 2024 | 8.28 |
| Dec 31, 2023 | 7.22 |
| Oct 1, 2023 | 7.28 |
| Jul 2, 2023 | 8.22 |
| Apr 2, 2023 | 8.56 |
| Jan 1, 2023 | 6.55 |
| Oct 2, 2022 | 6.59 |
| Jul 3, 2022 | 6.49 |
| Apr 3, 2022 | 8.32 |
| Jan 2, 2022 | 10.12 |
| Oct 3, 2021 | 9.92 |
| Jul 4, 2021 | 17.77 |
| Apr 4, 2021 | 21.56 |
| Jan 3, 2021 | 21.98 |
API Access
Gildan Activewear 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=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();