Gildan Activewear (GIL) Assets Average (2013 - 2026)
Gildan Activewear's (GIL) quarterly Assets Average came in at $10.3 billion in Q2 2026, up 159.25% year-over-year from $4.0 billion in Q2 2025, and down 1.95% quarter-over-quarter from $10.5 billion in Q1 2026.
Gildan Activewear (GIL) Assets Average (2013 - 2026) Analysis & Trends
Gildan Activewear (GIL) has reported Assets Average for 11 consecutive years, with $10.3 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Assets Average rose 159.25% year-over-year to $10.3 billion in Q2 2026; TTM through Jun 2026 was $10.3 billion, a 159.25% increase from a year earlier, with the FY2025 full-year figure at $7.2 billion, up 88.73% from the prior year.
- Assets Average was $10.3 billion for Q2 2026 at Gildan Activewear, down from $10.5 billion in the prior quarter.
- Over five years, Assets Average peaked at $10.5 billion in Q1 2026 and troughed at $3.7 billion in Q2 2024.
- A 3-year average of $6.0 billion and a median of $4.4 billion in 2024 frame the typical range for Assets Average.
- Across the five-year window, Assets Average slipped 16.82% in 2025 and surged 169.89% in 2026, its largest moves.
- Over 3 years, Assets Average stood at $3.7 billion in 2024, then jumped by 95.76% to $7.3 billion in 2025, then soared by 41.22% to $10.3 billion in 2026.
- The last three Assets Average figures came in at $10.3 billion (Q2 2026), $10.5 billion (Q1 2026), and $7.3 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets Avg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 8.51 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 6.60 Bn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 10.26 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 9.38 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 2.62 Bn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 11.38 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 2.68 Bn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 754.36 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 573.06 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | 4.26 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 10.26 Bn |
| Mar 29, 2026 | 10.47 Bn |
| Dec 28, 2025 | 7.27 Bn |
| Sep 28, 2025 | 4.04 Bn |
| Jun 29, 2025 | 3.96 Bn |
| Mar 30, 2025 | 3.88 Bn |
| Jun 30, 2024 | 3.71 Bn |
| Mar 31, 2024 | 4.66 Bn |
| Sep 27, 2020 | 3.10 Bn |
| Jun 28, 2020 | 3.47 Bn |
| Mar 29, 2020 | 3.45 Bn |
| Dec 29, 2019 | 3.30 Bn |
| Sep 29, 2019 | 3.37 Bn |
| Jun 30, 2019 | 3.29 Bn |
| Mar 31, 2019 | 3.12 Bn |
| Dec 30, 2018 | 3.09 Bn |
| Jan 1, 2017 | 3.06 Bn |
| Oct 2, 2016 | 3.11 Bn |
| Jul 3, 2016 | 3.04 Bn |
| Oct 4, 2015 | 2.92 Bn |
Gildan Activewear Assets Average 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=assets-average&ticker=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets-average", "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=assets-average&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();