Lsi Industries (LYTS) Inventory (2011 - 2026)
Lsi Industries (LYTS) recorded Inventory of $112.29 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 40.7% from $79.82 million a year earlier but down 3.7% from the prior quarter.
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Analysis
Lsi Industries (LYTS) Inventory (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Lsi Industries' Inventory history includes 61 quarters.
- Annual Inventory has increased for three straight fiscal years, with a five-year compound annual growth rate of 13.8% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $79.82 million in FY2025 (+12.6%), $70.91 million in FY2024 (+11.3%), $63.72 million in FY2023 (-14.4%) and $74.42 million in FY2022 (+26.3%).
- Quarterly Inventory has ranged from $60.15 million in fiscal Q2 2024 to $116.59 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Inventory has increased for nine consecutive quarters, with growth averaging 23.8% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 106.6% in fiscal Q2 2022, against a decline of 21.6% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $116.59 million (Q3 2026), $82.02 million (Q2 2026) and $78.91 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Lsi Industries | 774.95 Mn | 736.82 Mn | 57.42 Mn | 112.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.29 Mn |
| Mar 31, 2026 | 116.59 Mn |
| Dec 31, 2025 | 82.02 Mn |
| Sep 30, 2025 | 78.91 Mn |
| Jun 30, 2025 | 79.82 Mn |
| Mar 31, 2025 | 74.46 Mn |
| Dec 31, 2024 | 69.43 Mn |
| Sep 30, 2024 | 71.26 Mn |
| Jun 30, 2024 | 70.91 Mn |
| Mar 31, 2024 | 60.33 Mn |
| Dec 31, 2023 | 60.15 Mn |
| Sep 30, 2023 | 63.09 Mn |
| Jun 30, 2023 | 63.72 Mn |
| Mar 31, 2023 | 67.66 Mn |
| Dec 31, 2022 | 73.21 Mn |
| Sep 30, 2022 | 80.46 Mn |
| Jun 30, 2022 | 74.42 Mn |
| Mar 31, 2022 | 78.36 Mn |
| Dec 31, 2021 | 71.95 Mn |
| Sep 30, 2021 | 67.91 Mn |
API Access
Lsi Industries Inventory 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=inventory&ticker=LYTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();