Lase (LASE) Total Liabilities (2019 - 2026)
Laser Photonics (LASE) reported Total Liabilities of $11.49 million for Q2 2026, up 8.4% from $10.6 million a year earlier but down 8.8% from the prior quarter.
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Analysis
Lase (LASE) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Laser Photonics posted Total Liabilities of $14.49 million, up 108.7% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $6.94 million in FY2024 (+480.8%), $1.19 million in FY2023 (-17.7%), $1.45 million in FY2022 (+4.3%) and $1.39 million in FY2021 (-36.7%).
- Five-year quarterly Total Liabilities spans a low of $693,673 in Q3 2022 and a high of $14.49 million in Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 207.5% over the last six quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2025 (growth of 673.6%); the low point was Q2 2024 (a decline of 72.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.61 million (Q1 2026), $14.49 million (Q4 2025) and $13.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Lase | 22.82 Mn | 14.76 Mn | 152,473.00 | 11.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.49 Mn |
| Mar 31, 2026 | 12.61 Mn |
| Dec 31, 2025 | 14.49 Mn |
| Sep 30, 2025 | 13.36 Mn |
| Jun 30, 2025 | 10.60 Mn |
| Mar 31, 2025 | 9.19 Mn |
| Dec 31, 2024 | 6.94 Mn |
| Sep 30, 2024 | 933,144.00 |
| Jun 30, 2024 | 796,974.00 |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 2.56 Mn |
| Jun 30, 2023 | 2.89 Mn |
| Mar 31, 2023 | 1.24 Mn |
| Dec 31, 2022 | 1.45 Mn |
| Sep 30, 2022 | 693,673.00 |
| Jun 30, 2022 | 741,476.00 |
| Mar 31, 2022 | 2.20 Mn |
| Dec 31, 2021 | 1.39 Mn |
| Sep 30, 2021 | 1.76 Mn |
API Access
Lase Total 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-liabilities&ticker=LASE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LASE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();