Lase (LASE) Total Current Liabilities (2019 - 2026)
Laser Photonics (LASE) reported Total Current Liabilities of $7.71 million for Q2 2026, up 21.6% from $6.34 million a year earlier but down 9.5% from the prior quarter.
Lase (LASE) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Laser Photonics posted Total Current Liabilities of $10.33 million, up 301.6% from FY2024.
- Total Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 58.6% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $2.57 million in FY2024 (+149.4%), $1.03 million in FY2023 (+7.0%), $964,326 in FY2022 (+145.7%) and $392,431 in FY2021 (-61.9%).
- Five-year quarterly Total Current Liabilities spans a low of $392,431 in Q4 2021 and a high of $10.33 million in Q4 2025.
- Year over year, Total Current Liabilities has now increased in each of the last eight quarters, with growth averaging 335.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2025 (growth of 932.3%); the low point was Q4 2021 (a decline of 61.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.51 million (Q1 2026), $10.33 million (Q4 2025) and $9.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 10.12 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 8.71 Bn |
| 10 | Lase | 22.82 Mn | 14.76 Mn | 152,473.00 | 7.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.71 Mn |
| Mar 31, 2026 | 8.51 Mn |
| Dec 31, 2025 | 10.33 Mn |
| Sep 30, 2025 | 9.15 Mn |
| Jun 30, 2025 | 6.34 Mn |
| Mar 31, 2025 | 4.87 Mn |
| Dec 31, 2024 | 2.57 Mn |
| Sep 30, 2024 | 886,798.00 |
| Jun 30, 2024 | 620,028.00 |
| Mar 31, 2024 | 1.47 Mn |
| Dec 31, 2023 | 1.03 Mn |
| Sep 30, 2023 | 585,665.00 |
| Jun 30, 2023 | 640,362.00 |
| Mar 31, 2023 | 843,000.00 |
| Dec 31, 2022 | 964,326.00 |
| Sep 30, 2022 | 497,693.00 |
| Jun 30, 2022 | 413,475.00 |
| Mar 31, 2022 | 1.72 Mn |
| Dec 31, 2021 | 392,431.00 |
| Sep 30, 2021 | 689,193.00 |
Lase Total Current Liabilities 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=total-current-liabilities&ticker=LASE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LASE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();