Lamb Weston Holdings (LW) Tax Provisions (2015 - 2026)
Lamb Weston Holdings (LW) recorded Tax Provisions of $16.9 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 64.7% from $47.9 million a year earlier but up 21.6% from the prior quarter.
Lamb Weston Holdings (LW) Tax Provisions (2015 - 2026) Analysis & Trends
On a TTM basis, Lamb Weston Holdings' Tax Provisions came in at $97.1 million as of Aug 30, 2026, down 30.7% year-over-year; for FY2026 (ended May 31, 2026), it came in at $128.1 million, down 10.5% from FY2025.
- Annual Tax Provisions has a five-year compound annual growth rate of 7.2% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $143.1 million in FY2025 (-37.8%), $230 million in FY2024 (+2.4%), $224.6 million in FY2023 (+212.8%) and $71.8 million in FY2022 (-20.7%).
- Quarterly Tax Provisions has ranged from $9.6 million in fiscal Q2 2022 to $73.7 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Tax Provisions has declined for three consecutive quarters, with an average decline of 11.0% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 747.1% in fiscal Q1 2023, against a decline of 79.8% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $13.9 million (Q4 2026), $30.3 million (Q3 2026) and $36 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 139.34 Bn | 90.80 Bn | - | - |
| 2 | Mondelez International | 80.33 Bn | 73.60 Bn | 3.99 Bn | 364.00 Mn |
| 3 | Hershey | 33.19 Bn | 29.44 Bn | 1.26 Bn | 130.62 Mn |
| 4 | Kraft Heinz | 26.86 Bn | 13.28 Bn | 2.03 Bn | -916.00 Mn |
| 5 | General Mills | 17.22 Bn | 14.87 Bn | 1.49 Bn | 122.80 Mn |
| 6 | J M Smucker | 13.01 Bn | 12.79 Bn | 979.60 Mn | 103.60 Mn |
| 7 | Mccormick | 12.02 Bn | 11.09 Bn | 794.90 Mn | 49.90 Mn |
| 8 | Hormel Foods | 10.90 Bn | 7.56 Bn | 471.52 Mn | 43.64 Mn |
| 9 | Chewy | 8.45 Bn | 5.74 Bn | 1.01 Bn | 31.40 Mn |
| 10 | Lamb Weston Holdings | 7.28 Bn | 6.91 Bn | 266.50 Mn | 16.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 16.90 Mn |
| May 31, 2026 | 13.90 Mn |
| Feb 22, 2026 | 30.30 Mn |
| Nov 23, 2025 | 36.00 Mn |
| Aug 24, 2025 | 47.90 Mn |
| May 25, 2025 | 21.40 Mn |
| Feb 23, 2025 | 57.50 Mn |
| Nov 24, 2024 | 13.40 Mn |
| Aug 25, 2024 | 50.80 Mn |
| May 26, 2024 | 50.70 Mn |
| Feb 25, 2024 | 43.10 Mn |
| Nov 26, 2023 | 66.20 Mn |
| Aug 27, 2023 | 69.90 Mn |
| May 28, 2023 | 72.00 Mn |
| Feb 26, 2023 | 42.10 Mn |
| Nov 27, 2022 | 36.80 Mn |
| Aug 28, 2022 | 73.70 Mn |
| May 29, 2022 | 22.40 Mn |
| Feb 27, 2022 | 31.10 Mn |
| Nov 28, 2021 | 9.60 Mn |
Lamb Weston Holdings 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=LW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "LW", "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=LW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();