Fossil (FOSL) Tax Provisions (2009 - 2026)
Fossil's Tax Provisions was $3.72 million in Q2 2027, down 40.2% from $6.23 million a year earlier.
Analysis
Fossil (FOSL) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fossil's Tax Provisions was $28.44 million through Jul 4, 2026; for FY2026, it was $28.08 million.
- Tax Provisions shows a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- In earlier years, Tax Provisions was -$11.79 million in FY2024, $522,000 in FY2023 (-97.6%) and $21.4 million in FY2022 (-19.0%).
- The Q2 2027 figure marks the lowest quarterly Tax Provisions since Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.04 Mn |
| 10 | Fossil | 388.33 Mn | 8.57 Mn | 130.79 Mn | 3.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 3.72 Mn |
| Jan 3, 2026 | 10.53 Mn |
| Oct 4, 2025 | 7.96 Mn |
| Jul 5, 2025 | 6.23 Mn |
| Apr 5, 2025 | 3.37 Mn |
| Dec 28, 2024 | -14.04 Mn |
| Sep 28, 2024 | 6.17 Mn |
| Jun 29, 2024 | 2.21 Mn |
| Mar 30, 2024 | -6.12 Mn |
| Dec 30, 2023 | 556,000.00 |
| Sep 30, 2023 | 5.56 Mn |
| Jul 1, 2023 | -7.20 Mn |
| Apr 1, 2023 | 1.60 Mn |
| Dec 31, 2022 | 5.50 Mn |
| Oct 1, 2022 | 9.21 Mn |
| Jul 2, 2022 | 2.00 Mn |
| Apr 2, 2022 | 4.69 Mn |
| Jan 1, 2022 | 117.68 Mn |
| Oct 2, 2021 | 8.98 Mn |
| Jul 3, 2021 | 8.08 Mn |
API Access
Fossil Tax Provisions 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=tax-provisions&ticker=FOSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "FOSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=FOSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();