Lase (LASE) Change in Accrued Expenses (2020 - 2026)
Laser Photonics (LASE) reported Change in Accrued Expenses of $364,991 for Q2 2026, up 314.1% from $88,150 a year earlier.
Lase (LASE) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Laser Photonics' Change in Accrued Expenses came in at $430,481, up 5.9% year-over-year; for FY2025, it was $651,611.
- Change in Accrued Expenses has a five-year compound annual growth rate of 66.8% (FY2020 to FY2025).
- By year, Change in Accrued Expenses came in at $56,969 in FY2024, -$267,464 in FY2023, $391,218 in FY2022 (+576.2%) and $57,857 in FY2021 (+14.6%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accrued Expenses since Q4 2022.
- Year over year, Change in Accrued Expenses gained in three of the last four quarters, with growth averaging 156.9%.
- The high point for year-over-year Change in Accrued Expenses in five years was Q2 2026 (growth of 314.1%); the low point was Q4 2023 (a decline of 81.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$290,496 (Q1 2026), $74,364 (Q4 2025) and $281,622 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 762.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | - |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 205.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 35.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 112.80 Mn |
| 10 | Lase | 22.82 Mn | 14.76 Mn | 152,473.00 | 364,991.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 364,991.00 |
| Mar 31, 2026 | -290,496.00 |
| Dec 31, 2025 | 74,364.00 |
| Sep 30, 2025 | 281,622.00 |
| Jun 30, 2025 | 88,150.00 |
| Mar 31, 2025 | 207,475.00 |
| Dec 31, 2024 | 189,400.00 |
| Sep 30, 2024 | -78,507.00 |
| Jun 30, 2024 | 796,973.00 |
| Mar 31, 2024 | -82,531.00 |
| Dec 31, 2023 | 71,141.00 |
| Sep 30, 2023 | -15,759.00 |
| Jun 30, 2023 | 29,154.00 |
| Mar 31, 2023 | -352,000.00 |
| Dec 31, 2022 | 391,218.00 |
| Jun 30, 2022 | -88,547.00 |
| Mar 31, 2022 | 88,547.00 |
| Dec 31, 2021 | 97,188.00 |
| Sep 30, 2021 | -125,597.00 |
| Jun 30, 2021 | 135,976.00 |
Lase Change in Accrued Expenses 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-accured-expenses&ticker=LASE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LASE", "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-accured-expenses&ticker=LASE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();