Photronics (PLAB) Long-Term Debt Repayments (2010 - 2026)
Photronics (PLAB) posted Long-Term Debt Repayments of $1.63 million for fiscal Q3 2023 (quarter ended Jul 30, 2023), down 93.3% from $24.35 million a year earlier and down 70.4% from the prior quarter.
Photronics (PLAB) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 30, 2023, Long-Term Debt Repayments at Photronics was $29.87 million, down 49.3% year-over-year; for FY2022 (ended Oct 31, 2022), it was $65.44 million, up 221.5% from FY2021.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 64.5% (FY2017 to FY2022).
- In prior fiscal years, Photronics' Long-Term Debt Repayments was $20.35 million in FY2021 (+175.3%), $7.39 million in FY2020 (-87.9%), $61.32 million in FY2019 and $4.64 million in FY2018 (-14.5%).
- The fiscal Q3 2023 figure stands as the lowest quarterly Long-Term Debt Repayments since fiscal Q2 2021.
- On a year-over-year basis, Long-Term Debt Repayments has declined in each of the last three quarters, with growth averaging 114.4% over the last seven quarters.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q3 2022, with growth of 420.8%; the weakest was fiscal Q3 2023, with a decline of 93.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $5.5 million (Q2 2023), $9.22 million (Q1 2023) and $13.52 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn | - |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 8.33 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn | 1.36 Mn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn | - |
| 10 | Photronics | 1.68 Bn | -854.37 Mn | 71.73 Mn | 3,000.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 3,000.00 |
| May 3, 2026 | 2,000.00 |
| Feb 1, 2026 | 3,000.00 |
| Oct 31, 2025 | 3,000.00 |
| Aug 3, 2025 | 3,000.00 |
| May 4, 2025 | 2.62 Mn |
| Feb 2, 2025 | 15.34 Mn |
| Oct 31, 2024 | 2.12 Mn |
| Jul 28, 2024 | 1.66 Mn |
| Apr 28, 2024 | 1.65 Mn |
| Jan 28, 2024 | 1.19 Mn |
| Oct 31, 2023 | 2.09 Mn |
| Jul 30, 2023 | 1.63 Mn |
| Apr 30, 2023 | 5.50 Mn |
| Jan 29, 2023 | 9.22 Mn |
| Oct 31, 2022 | 13.52 Mn |
| Jul 31, 2022 | 24.35 Mn |
| May 1, 2022 | 12.38 Mn |
| Jan 30, 2022 | 15.19 Mn |
| Oct 31, 2021 | 7.04 Mn |
Photronics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();