Canada Goose Holdings (GOOS) Receivables (2016 - 2026)
Canada Goose Holdings' Receivables came in at $62.65 million for fiscal Q1 2027 (quarter ended Jun 28, 2026), up 18.8% from $52.75 million a year earlier but down 20.8% from the prior quarter.
Canada Goose Holdings (GOOS) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 29, 2026), Canada Goose Holdings' Receivables was $78.44 million, up 11.3% from FY2025.
- Receivables carries a five-year compound annual growth rate of 20.4% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $70.5 million in FY2025 (+35.0%) and $52.22 million in FY2024.
- The five-year range for quarterly Receivables is $33.72 million (fiscal Q4 2022) to $145.37 million (fiscal Q3 2026).
- Year-over-year, Receivables has increased for seven consecutive quarters, with growth averaging 17.3% over the last seven quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 1.9% (fiscal Q2 2026) to 38.8% (fiscal Q4 2024).
- Business Quant data shows GOOS's Receivables at $79.09 million (Q4 2026), $145.37 million (Q3 2026) and $112.96 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 5.24 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 745.20 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 1.22 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 1.08 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 323.20 Mn |
| 10 | Canada Goose Holdings | 792.43 Mn | 30.74 Mn | - | 60.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 60.98 Mn |
| Mar 29, 2026 | 78.26 Mn |
| Dec 28, 2025 | 148.41 Mn |
| Sep 28, 2025 | 111.47 Mn |
| Jun 29, 2025 | 53.58 Mn |
| Mar 30, 2025 | 68.50 Mn |
| Dec 29, 2024 | 126.85 Mn |
| Sep 29, 2024 | 112.28 Mn |
| Jun 30, 2024 | 43.94 Mn |
| Mar 31, 2024 | 52.01 Mn |
| Dec 31, 2023 | 109.22 Mn |
| Oct 1, 2023 | 108.59 Mn |
| Jul 2, 2023 | 38.42 Mn |
| Jan 1, 2023 | 89.21 Mn |
| Oct 2, 2022 | 109.69 Mn |
| Jul 3, 2022 | 37.44 Mn |
| Jan 2, 2022 | 84.74 Mn |
| Sep 26, 2021 | 87.82 Mn |
| Jun 27, 2021 | 31.81 Mn |
| Mar 28, 2021 | 32.46 Mn |
Canada Goose Holdings Receivables 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=receivables&ticker=GOOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GOOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=GOOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();