Gildan Activewear (GIL) Non Operating Income (2009 - 2025)
Gildan Activewear (GIL) reported Non Operating Income of $43.18 million for the quarter ended Dec 28, 2025.
Analysis
Gildan Activewear (GIL) Non Operating Income (2009 - 2025) Analysis & Trends
For the year ended Dec 28, 2025, Gildan Activewear posted Non Operating Income of $148.75 million.
- The figure for the quarter ended Dec 28, 2025 ranks as the highest quarterly Non Operating Income in data going back to the quarter ended Mar 31, 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (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 | -200,000.00 |
| 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 |
|---|---|
| Dec 28, 2025 | 43.18 Mn |
| Jun 30, 2024 | -36.30 Mn |
| Mar 31, 2024 | -44.00 Mn |
| Dec 31, 2023 | 21.24 Mn |
| Jan 1, 2023 | 13.28 Mn |
| Jan 2, 2022 | 4.67 Mn |
| Jan 3, 2021 | 13.14 Mn |
| Dec 29, 2019 | 9.54 Mn |
| Jun 30, 2019 | 55.90 Mn |
| Mar 31, 2019 | 22.80 Mn |
| Dec 30, 2018 | 8.69 Mn |
| Sep 30, 2018 | 33.60 Mn |
| Dec 31, 2017 | 5.89 Mn |
| Jan 1, 2017 | 5.85 Mn |
| Jan 3, 2016 | 2.42 Mn |
| Jan 4, 2015 | 2.80 Mn |
| Oct 5, 2014 | 1.64 Mn |
| Dec 29, 2013 | -468.00 |
| Sep 29, 2013 | 6.66 Mn |
| Dec 30, 2012 | -2,271.00 |
API Access
Gildan Activewear Non Operating Income 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-operating-income&ticker=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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-operating-income&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();