Lsi Industries (LYTS) Change in Receivables (2010 - 2026)
Lsi Industries' Change in Receivables was $16.12 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 148.3% from $6.49 million a year earlier and up 96.9% from the prior quarter.
Lsi Industries (LYTS) Change in Receivables (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Change in Receivables at Lsi Industries came in at $10.4 million, down 52.9% from FY2025.
- Change in Receivables shows a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- In earlier fiscal years, Change in Receivables was $22.1 million in FY2025, -$10.38 million in FY2024, -$88,000 in FY2023 and $20.31 million in FY2022 (+92.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Change in Receivables in data going back to fiscal Q1 2011.
- Compared with a year earlier, Change in Receivables was higher in two of the last four quarters, with growth averaging 112.5%.
- The best year-over-year quarter for Change in Receivables over five years was fiscal Q1 2026 (growth of 391.6%); the worst was fiscal Q3 2023 (a decline of 56.3%).
- Per Business Quant data, LYTS's Change in Receivables in the three fiscal quarters before Q4 2026 was $8.19 million (Q3 2026), -$24.43 million (Q2 2026) and $10.53 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 2.38 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 168.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | -55.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 586.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | -95.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 166.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 184.00 Mn |
| 10 | Lsi Industries | 767.19 Mn | 729.05 Mn | 57.42 Mn | 16.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.12 Mn |
| Mar 31, 2026 | 8.19 Mn |
| Dec 31, 2025 | -24.43 Mn |
| Sep 30, 2025 | 10.53 Mn |
| Jun 30, 2025 | 6.49 Mn |
| Mar 31, 2025 | 12.95 Mn |
| Dec 31, 2024 | 520,000.00 |
| Sep 30, 2024 | 2.14 Mn |
| Jun 30, 2024 | -1.49 Mn |
| Mar 31, 2024 | -3.40 Mn |
| Dec 31, 2023 | -10.07 Mn |
| Sep 30, 2023 | 4.58 Mn |
| Jun 30, 2023 | 8.45 Mn |
| Mar 31, 2023 | 1.96 Mn |
| Dec 31, 2022 | -8.21 Mn |
| Sep 30, 2022 | -2.29 Mn |
| Jun 30, 2022 | 4.21 Mn |
| Mar 31, 2022 | 4.50 Mn |
| Dec 31, 2021 | 5.35 Mn |
| Sep 30, 2021 | 6.26 Mn |
Lsi Industries Change in Receivables 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=change-in-receivables&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();