Lindsay (LNN) Tax Provisions (2010 - 2026)
Lindsay (LNN) posted Tax Provisions of $4.8 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 22.8% from $6.21 million a year earlier but up 36.3% from the prior quarter.
Lindsay (LNN) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Tax Provisions at Lindsay was $16.53 million, down 18.2% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $20.53 million, up 60.5% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In prior fiscal years, Lindsay's Tax Provisions was $12.79 million in FY2024 (-54.3%), $28 million in FY2023 (+25.0%), $22.4 million in FY2022 (+186.7%) and $7.81 million in FY2021 (-23.5%).
- Quarterly Tax Provisions has run from a low of -$206,000 in fiscal Q3 2024 to a high of $10.5 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last seven quarters, with an average decline of 10.8%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q1 2023, with growth of 262.5%; the weakest was fiscal Q4 2024, with a decline of 56.9%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $3.52 million (Q2 2026), $5.4 million (Q1 2026) and $2.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 122.20 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 198.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 183.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Lindsay | 1.14 Bn | 346.42 Mn | 47.83 Mn | 4.80 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 4.80 Mn |
| Feb 28, 2026 | 3.52 Mn |
| Nov 30, 2025 | 5.40 Mn |
| Aug 31, 2025 | 2.81 Mn |
| May 31, 2025 | 6.21 Mn |
| Feb 28, 2025 | 6.64 Mn |
| Nov 30, 2024 | 4.90 Mn |
| Aug 31, 2024 | 2.45 Mn |
| May 31, 2024 | -206,000.00 |
| Feb 29, 2024 | 4.60 Mn |
| Nov 30, 2023 | 6.00 Mn |
| Aug 31, 2023 | 5.68 Mn |
| May 31, 2023 | 8.90 Mn |
| Feb 28, 2023 | 7.70 Mn |
| Nov 30, 2022 | 5.80 Mn |
| Aug 31, 2022 | 5.70 Mn |
| May 31, 2022 | 10.50 Mn |
| Feb 28, 2022 | 4.64 Mn |
| Nov 30, 2021 | 1.60 Mn |
| Aug 31, 2021 | 1.99 Mn |
Lindsay 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=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "LNN", "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=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();