Lsi Industries (LYTS) Current Assets (2011 - 2026)
Lsi Industries (LYTS) reported Current Assets of $295.89 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 52.4% from $194.17 million a year earlier and up 6.0% from the prior quarter.
Lsi Industries (LYTS) Current Assets (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Lsi Industries' Current Assets record includes 61 quarters.
- Current Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 18.8% (FY2021 to FY2026).
- By fiscal year, Current Assets came in at $194.17 million in FY2025 (+19.5%), $162.5 million in FY2024 (+8.4%), $149.88 million in FY2023 (-5.7%) and $158.92 million in FY2022 (+27.1%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Current Assets in data going back to fiscal Q4 2011.
- Year over year, Current Assets has now increased in each of the last nine quarters, with growth averaging 26.8% over the last eight quarters.
- The high point for year-over-year Current Assets in five years was fiscal Q4 2026 (growth of 52.4%); the low point was fiscal Q1 2024 (a decline of 9.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $279.17 million (Q3 2026), $187.26 million (Q2 2026) and $207.74 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 54.45 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 17.82 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 14.77 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 7.70 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 9.98 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 9.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 14.11 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 6.60 Bn |
| 10 | Lsi Industries | 774.95 Mn | 736.82 Mn | 57.42 Mn | 295.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 295.89 Mn |
| Mar 31, 2026 | 279.17 Mn |
| Dec 31, 2025 | 187.26 Mn |
| Sep 30, 2025 | 207.74 Mn |
| Jun 30, 2025 | 194.17 Mn |
| Mar 31, 2025 | 185.51 Mn |
| Dec 31, 2024 | 163.41 Mn |
| Sep 30, 2024 | 166.89 Mn |
| Jun 30, 2024 | 162.50 Mn |
| Mar 31, 2024 | 143.49 Mn |
| Dec 31, 2023 | 141.39 Mn |
| Sep 30, 2023 | 154.19 Mn |
| Jun 30, 2023 | 149.88 Mn |
| Mar 31, 2023 | 145.82 Mn |
| Dec 31, 2022 | 149.03 Mn |
| Sep 30, 2022 | 170.41 Mn |
| Jun 30, 2022 | 158.92 Mn |
| Mar 31, 2022 | 158.56 Mn |
| Dec 31, 2021 | 146.64 Mn |
| Sep 30, 2021 | 140.91 Mn |
Lsi Industries Current Assets 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=current-assets&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();