Levi Strauss (LEVI) Change in Taxes (2010 - 2020)
Levi Strauss (LEVI) recorded Change in Taxes of -$24.85 million in fiscal Q3 2020 (quarter ended Aug 23, 2020), compared with $14.24 million a year earlier.
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Analysis
Levi Strauss (LEVI) Change in Taxes (2010 - 2020) Analysis & Trends
On a TTM basis, Levi Strauss' Change in Taxes came in at -$35.03 million as of Aug 23, 2020; for FY2019 (ended Nov 24, 2019), it was $9.35 million.
- Annual Change in Taxes has a five-year compound annual growth rate of -13.4% (FY2014 to FY2019).
- Across earlier fiscal years, Change in Taxes came in at -$8.59 million in FY2018, $2.48 million in FY2017 (-67.6%), $7.65 million in FY2016 and -$9.68 million in FY2015.
- Quarterly Change in Taxes has ranged from -$27.17 million in fiscal Q2 2018 to $28.21 million in fiscal Q3 2017 over the past five years.
- On a year-over-year basis, Change in Taxes rose in two of the last four quarters, with growth averaging 91.8%.
- Peak year-over-year performance for Change in Taxes in the last five years was growth of 448.0% in fiscal Q1 2018, against a decline of 79.8% in fiscal Q1 2017 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.27 million (Q2 2020), $9.12 million (Q1 2020) and -$25.57 million (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | 20.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 62.87 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 39.42 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -90.02 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 15.40 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | -44.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 23, 2020 | -24.85 Mn |
| May 24, 2020 | 6.27 Mn |
| Feb 23, 2020 | 9.12 Mn |
| Nov 24, 2019 | -25.57 Mn |
| Aug 25, 2019 | 14.24 Mn |
| May 26, 2019 | 1.18 Mn |
| Feb 24, 2019 | 19.50 Mn |
| Nov 25, 2018 | -20.07 Mn |
| Aug 26, 2018 | 12.46 Mn |
| May 27, 2018 | -27.17 Mn |
| Feb 25, 2018 | 26.19 Mn |
| Nov 26, 2017 | -13.56 Mn |
| Aug 27, 2017 | 28.21 Mn |
| May 28, 2017 | -16.95 Mn |
| Feb 26, 2017 | 4.78 Mn |
| Nov 27, 2016 | -26.66 Mn |
| Aug 28, 2016 | 15.91 Mn |
| May 29, 2016 | -5.26 Mn |
| Feb 28, 2016 | 23.65 Mn |
| Nov 29, 2015 | -26.38 Mn |
API Access
Levi Strauss Change in Taxes 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=change-in-taxes&ticker=LEVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "LEVI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();