Lsi Industries (LYTS) Cash & Equivalents (2010 - 2026)
Lsi Industries (LYTS) posted Cash & Equivalents of $14.25 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 312.2% from $3.46 million a year earlier and up 37.9% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Cash & Equivalents (2010 - 2026) Analysis & Trends
Since fiscal Q1 2011, Lsi Industries has reported Cash & Equivalents for 64 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 44.2% (FY2021 to FY2026).
- In prior fiscal years, Lsi Industries' Cash & Equivalents was $3.46 million in FY2025 (-15.9%), $4.11 million in FY2024 (+124.8%), $1.83 million in FY2023 (-25.8%) and $2.46 million in FY2022 (+7.9%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cash & Equivalents since fiscal Q3 2021.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 76.2% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q3 2024, with growth of 431.5%; the weakest was fiscal Q3 2022, with a decline of 94.7%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $10.33 million (Q3 2026), $6.41 million (Q2 2026) and $7.14 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Lsi Industries | 785.67 Mn | 747.54 Mn | 57.42 Mn | 14.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.25 Mn |
| Mar 31, 2026 | 10.33 Mn |
| Dec 31, 2025 | 6.41 Mn |
| Sep 30, 2025 | 7.14 Mn |
| Jun 30, 2025 | 3.46 Mn |
| Mar 31, 2025 | 4.30 Mn |
| Dec 31, 2024 | 4.71 Mn |
| Sep 30, 2024 | 6.97 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 7.18 Mn |
| Dec 31, 2023 | 2.66 Mn |
| Sep 30, 2023 | 3.53 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 1.35 Mn |
| Dec 31, 2022 | 2.77 Mn |
| Sep 30, 2022 | 9.03 Mn |
| Jun 30, 2022 | 2.46 Mn |
| Mar 31, 2022 | 1.25 Mn |
| Dec 31, 2021 | 914,000.00 |
| Sep 30, 2021 | 2.57 Mn |
API Access
Lsi Industries Cash & Equivalents 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=cash-and-equivalents&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();