Gildan Activewear (GIL) Price to Book (2009 - 2026)
Gildan Activewear's (GIL) Price to Book stood at 3.49 in the quarter ended Jun 28, 2026, down 3.0% from the prior quarter.
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Analysis
Gildan Activewear (GIL) Price to Book (2009 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Gildan Activewear's Price to Book came in at 4.23, down 98.1% from the prior year.
- Across earlier years, Price to Book came in at 224.49 in the year ended Dec 28, 2024.
- The figure for the quarter ended Jun 28, 2026 is the lowest quarterly Price to Book since the quarter ended Dec 29, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn |
| 10 | Crocs | 5.92 Bn | 5.34 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.93 |
| Mar 29, 2026 | 2.96 |
| Dec 28, 2025 | 3.30 |
| Sep 27, 2025 | 21.05 |
| Jun 29, 2025 | 5.59 |
| Mar 30, 2025 | 5.21 |
| Dec 28, 2024 | 224.49 |
| Sep 28, 2024 | 52.70 |
| Jun 30, 2024 | 3.44 |
| Mar 31, 2024 | 3.25 |
| Dec 31, 2023 | 2.87 |
| Oct 1, 2023 | 2.53 |
| Jul 2, 2023 | 2.97 |
| Apr 2, 2023 | 4.68 |
| Jan 1, 2023 | 2.62 |
| Oct 2, 2022 | 5.13 |
| Jul 3, 2022 | 2.98 |
| Apr 3, 2022 | 3.80 |
| Jan 2, 2022 | 4.25 |
| Oct 3, 2021 | 3.88 |
API Access
Gildan Activewear Price to Book 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=price-to-book&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();