Gildan Activewear (GIL) Non-cash Items (2012 - 2026)
Gildan Activewear (GIL) recorded Non-cash Items of $44.28 million in the quarter ended Jun 28, 2026.
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Analysis
Gildan Activewear (GIL) Non-cash Items (2012 - 2026) Analysis & Trends
On a TTM basis, Gildan Activewear's Non-cash Items came in at $8.49 million as of Jun 28, 2026; for the year ended Dec 28, 2025, it came in at -$11.18 million.
- Across earlier years, Non-cash Items came in at -$115.86 million in the year ended Jun 30, 2024 and -$96.74 million in the year ended Dec 31, 2021.
- Quarterly Non-cash Items has ranged from -$265.53 million in the quarter ended Mar 30, 2025 to $218.33 million in the quarter ended Dec 28, 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 44.28 Mn |
| Mar 29, 2026 | -254.50 Mn |
| Dec 28, 2025 | 218.33 Mn |
| Jun 29, 2025 | 382,000.00 |
| Mar 30, 2025 | -265.53 Mn |
| Jun 30, 2024 | 26.03 Mn |
| Mar 31, 2024 | -141.89 Mn |
| Dec 31, 2023 | 92.60 Mn |
| Jan 2, 2022 | -41.15 Mn |
| Sep 27, 2020 | 29.91 Mn |
| Jun 28, 2020 | 88.13 Mn |
| Mar 29, 2020 | 121.37 Mn |
| Dec 29, 2019 | 48.23 Mn |
| Sep 29, 2019 | 52.11 Mn |
| Jun 30, 2019 | 61.44 Mn |
| Mar 31, 2019 | 46.28 Mn |
| Dec 30, 2018 | 121.63 Mn |
| Sep 30, 2018 | 39.12 Mn |
| Dec 31, 2017 | 98.74 Mn |
| Oct 2, 2016 | 40.16 Mn |
API Access
Gildan Activewear Non-cash Items 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=non-cash-items&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();