Lsi Industries (LYTS) Tax Provisions (2010 - 2026)
Lsi Industries (LYTS) posted Tax Provisions of $3.15 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 12.6% from $3.61 million a year earlier but up 148.6% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Tax Provisions (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries' Tax Provisions came in at $8.9 million, up 2.8% from FY2025.
- Annual Tax Provisions has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 34.1% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Tax Provisions was $8.66 million in FY2025 (+6.6%), $8.12 million in FY2024 (+7.4%), $7.56 million in FY2023 (+86.6%) and $4.05 million in FY2022 (+97.9%).
- Quarterly Tax Provisions has run from a low of $779,000 in fiscal Q2 2022 to a high of $3.61 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in four of the last eight quarters, with growth averaging 7.4%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q1 2022, with growth of 283.8%; the weakest was fiscal Q1 2025, with a decline of 30.1%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $1.27 million (Q3 2026), $2.05 million (Q2 2026) and $2.43 million (Q1 2026).
Peer Set
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 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 3.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.15 Mn |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 2.05 Mn |
| Sep 30, 2025 | 2.43 Mn |
| Jun 30, 2025 | 3.61 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | 1.64 Mn |
| Jun 30, 2024 | 2.22 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 2.34 Mn |
| Jun 30, 2023 | 1.13 Mn |
| Mar 31, 2023 | 2.26 Mn |
| Dec 31, 2022 | 1.42 Mn |
| Sep 30, 2022 | 2.76 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 779,000.00 |
| Sep 30, 2021 | 998,000.00 |
API Access
Lsi Industries 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=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "LYTS", "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=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();