Gildan Activewear (GIL) EV to EBIT (2009 - 2026)
Gildan Activewear's EV to EBIT came in at 16.53 for the quarter ended Jun 28, 2026, down 12.9% from the prior quarter.
Gildan Activewear (GIL) EV to EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Gildan Activewear reported EV to EBIT of 14.96; for the year ended Dec 28, 2025, it was 15.23.
- Going back by year, EV to EBIT was 25.50 in the year ended Jun 30, 2024, 7.23 in the year ended Dec 31, 2022 (-42.6%) and 12.60 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 28, 2026 represents the lowest quarterly EV to EBIT since the quarter ended Mar 30, 2025.
- The fastest year-over-year change in EV to EBIT over five years came in the quarter ended Mar 29, 2026 (growth of 45.0%), and the weakest in the quarter ended Jun 30, 2022 (a decline of 88.2%).
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
| Date | Value |
|---|---|
| Jun 28, 2026 | 24.97 |
| Mar 29, 2026 | 24.33 |
| Dec 28, 2025 | 21.45 |
| Sep 27, 2025 | 16.37 |
| Jun 29, 2025 | 14.48 |
| Mar 30, 2025 | 14.96 |
| Dec 28, 2024 | 15.91 |
| Sep 28, 2024 | 13.63 |
| Jun 30, 2024 | 10.84 |
| Mar 31, 2024 | 9.95 |
| Dec 31, 2023 | 8.59 |
| Oct 1, 2023 | 8.83 |
| Jul 2, 2023 | 9.91 |
| Apr 2, 2023 | 10.35 |
| Jan 1, 2023 | 7.91 |
| Oct 2, 2022 | 7.80 |
| Jul 3, 2022 | 7.67 |
| Apr 3, 2022 | 9.91 |
| Jan 2, 2022 | 12.23 |
| Oct 3, 2021 | 12.52 |
Gildan Activewear EV to EBIT 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-ebit&ticker=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();