Photronics (PLAB) Other Non-Current Liabilities (2010 - 2026)
Photronics (PLAB) reported Other Non-Current Liabilities of $49.75 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 24.9% from $39.82 million a year earlier and up 6.9% from the prior quarter.
Photronics (PLAB) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Photronics posted Other Non-Current Liabilities of $41.34 million, down 12.9% from FY2024.
- Other Non-Current Liabilities has a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- By fiscal year, Other Non-Current Liabilities came in at $47.46 million in FY2024 (+0.2%), $47.39 million in FY2023 (+71.5%), $27.63 million in FY2022 (-1.5%) and $28.05 million in FY2021 (+0.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2010.
- Year over year, Other Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 3.5%.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q4 2023 (growth of 71.5%); the low point was fiscal Q4 2025 (a decline of 12.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $46.55 million (Q2 2026), $44.84 million (Q1 2026) and $41.34 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,335.83 Bn | 5,109.99 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,217.28 Bn | 1,842.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,608.95 Bn | 1,535.00 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,029.20 Bn | 934.84 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 896.23 Bn | 852.98 Bn | 6.20 Bn |
| 6 | Asml Holding | 652.08 Bn | 607.76 Bn | 5.90 Bn |
| 7 | Intel | 471.71 Bn | 340.84 Bn | 6.51 Bn |
| 8 | Lam Research | 335.09 Bn | 311.89 Bn | 3.48 Bn |
| 9 | Applied Materials | 326.90 Bn | 292.34 Bn | 4.59 Bn |
| 10 | Photronics | 1.69 Bn | -840.70 Mn | 71.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 49.75 Mn |
| May 3, 2026 | 46.55 Mn |
| Feb 1, 2026 | 44.84 Mn |
| Oct 31, 2025 | 41.34 Mn |
| Aug 3, 2025 | 39.82 Mn |
| May 4, 2025 | 39.46 Mn |
| Feb 2, 2025 | 47.80 Mn |
| Oct 31, 2024 | 47.46 Mn |
| Jul 28, 2024 | 40.52 Mn |
| Apr 28, 2024 | 37.40 Mn |
| Jan 28, 2024 | 47.84 Mn |
| Oct 31, 2023 | 47.39 Mn |
| Jul 30, 2023 | 40.69 Mn |
| Apr 30, 2023 | 39.85 Mn |
| Jan 29, 2023 | 32.31 Mn |
| Oct 31, 2022 | 27.63 Mn |
| Jul 31, 2022 | 25.94 Mn |
| May 1, 2022 | 25.05 Mn |
| Jan 30, 2022 | 26.45 Mn |
| Oct 31, 2021 | 28.05 Mn |
Photronics Other 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=other-non-current-liabilities&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();