Lsi Industries (LYTS) Cash from Operations (2010 - 2026)
Lsi Industries (LYTS) reported Cash from Operations of $11.56 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 21.7% from $9.5 million a year earlier and up 66.8% from the prior quarter.
Lsi Industries (LYTS) Cash from Operations (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lsi Industries posted Cash from Operations of $44.15 million, up 15.8% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of 9.5% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $38.12 million in FY2025 (-12.2%), $43.39 million in FY2024 (-12.5%), $49.59 million in FY2023 and -$3.86 million in FY2022.
- Five-year quarterly Cash from Operations spans a low of -$8.65 million in fiscal Q2 2022 and a high of $24.98 million in fiscal Q2 2026.
- Year over year, Cash from Operations has now increased in each of the last three quarters, with growth averaging 5.0% over the last eight quarters.
- The high point for year-over-year Cash from Operations in five years was fiscal Q3 2023 (growth of 222.2%); the low point was fiscal Q1 2026 (a decline of 94.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $6.93 million (Q3 2026), $24.98 million (Q2 2026) and $676,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.37 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.56 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.21 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.13 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.74 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.10 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.42 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 986.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 723.00 Mn |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 11.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.56 Mn |
| Mar 31, 2026 | 6.93 Mn |
| Dec 31, 2025 | 24.98 Mn |
| Sep 30, 2025 | 676,000.00 |
| Jun 30, 2025 | 9.50 Mn |
| Mar 31, 2025 | 6.88 Mn |
| Dec 31, 2024 | 9.89 Mn |
| Sep 30, 2024 | 11.85 Mn |
| Jun 30, 2024 | 11.10 Mn |
| Mar 31, 2024 | 12.43 Mn |
| Dec 31, 2023 | 9.28 Mn |
| Sep 30, 2023 | 10.59 Mn |
| Jun 30, 2023 | 17.04 Mn |
| Mar 31, 2023 | 12.49 Mn |
| Dec 31, 2022 | 9.48 Mn |
| Sep 30, 2022 | 10.58 Mn |
| Jun 30, 2022 | 8.81 Mn |
| Mar 31, 2022 | 3.88 Mn |
| Dec 31, 2021 | -8.65 Mn |
| Sep 30, 2021 | -7.89 Mn |
Lsi Industries Cash from Operations 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-from-operations&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();