Photronics (PLAB) Total Non-Current Liabilities (2010 - 2026)
Photronics' Total Non-Current Liabilities was $4.67 million in fiscal Q3 2026 (quarter ended Aug 2, 2026), up 29.4% from $3.61 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Photronics (PLAB) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Total Non-Current Liabilities at Photronics came in at $4.46 million, down 10.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -44.4% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $4.98 million in FY2024 (+77.2%), $2.81 million in FY2023 (-79.6%), $13.74 million in FY2022 (-78.7%) and $64.38 million in FY2021 (-22.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities since fiscal Q1 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 30.0%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2024 (growth of 77.2%); the worst was fiscal Q2 2023 (a decline of 95.0%).
- Per Business Quant data, PLAB's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $4.63 million (Q2 2026), $4.55 million (Q1 2026) and $4.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,363.90 Bn | 5,138.06 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,235.41 Bn | 1,860.27 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Broadcom | 1,613.17 Bn | 1,539.22 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,036.38 Bn | 942.01 Bn | 47.05 Bn | 45.85 Bn |
| 5 | Advanced Micro Devices | 906.09 Bn | 862.83 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 652.49 Bn | 608.18 Bn | 5.90 Bn | 7.86 Bn |
| 7 | Intel | 473.12 Bn | 342.25 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 328.38 Bn | 305.18 Bn | 3.48 Bn | 9.67 Bn |
| 9 | Applied Materials | 325.09 Bn | 290.53 Bn | 4.59 Bn | 15.60 Bn |
| 10 | Photronics | 1.69 Bn | -846.81 Mn | 71.73 Mn | 4.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 4.67 Mn |
| May 3, 2026 | 4.63 Mn |
| Feb 1, 2026 | 4.55 Mn |
| Oct 31, 2025 | 4.46 Mn |
| Aug 3, 2025 | 3.61 Mn |
| May 4, 2025 | 3.58 Mn |
| Feb 2, 2025 | 4.90 Mn |
| Oct 31, 2024 | 4.98 Mn |
| Jul 28, 2024 | 2.84 Mn |
| Apr 28, 2024 | 2.85 Mn |
| Jan 28, 2024 | 2.89 Mn |
| Oct 31, 2023 | 2.81 Mn |
| Jul 30, 2023 | 2.20 Mn |
| Apr 30, 2023 | 2.23 Mn |
| Jan 29, 2023 | 8.12 Mn |
| Oct 31, 2022 | 13.74 Mn |
| Jul 31, 2022 | 32.10 Mn |
| May 1, 2022 | 44.42 Mn |
| Jan 30, 2022 | 50.32 Mn |
| Oct 31, 2021 | 64.38 Mn |
API Access
Photronics Total Non-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-non-current-liabilities&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PLAB", "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-non-current-liabilities&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();