Photronics (PLAB) Free Cash Flow (2010 - 2026)
Photronics (PLAB) posted Free Cash Flow of $39.35 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 56.1% from $25.22 million a year earlier.
Photronics (PLAB) Free Cash Flow (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 2, 2026, Free Cash Flow at Photronics was $110.48 million, up 71.2% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $59.66 million, down 54.3% from FY2024.
- Annual Free Cash Flow shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In prior fiscal years, Photronics' Free Cash Flow was $130.5 million in FY2024 (-23.6%), $170.88 million in FY2023 (+4.9%), $162.85 million in FY2022 (+290.8%) and $41.67 million in FY2021 (-42.3%).
- Quarterly Free Cash Flow has run from a low of -$29.1 million in fiscal Q2 2025 to a high of $81.1 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Free Cash Flow increased in two of the last five quarters, with an average decline of 10.5%.
- The strongest year-over-year quarter for Free Cash Flow in the past five years was fiscal Q1 2022, with growth of 356.4%; the weakest was fiscal Q4 2024, with a decline of 53.5%.
- According to Business Quant data, Free Cash Flow for the three prior fiscal quarters was $1.23 million (Q2 2026), $49.62 million (Q1 2026) and $20.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 21.40 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 24.78 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 13.67 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 32.86 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 1.56 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | - |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 4.45 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 2.33 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 3.24 Bn |
| 10 | Photronics | 1.64 Bn | -434.32 Mn | 71.73 Mn | 39.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 39.35 Mn |
| May 3, 2026 | 1.23 Mn |
| Feb 1, 2026 | 49.62 Mn |
| Oct 31, 2025 | 20.28 Mn |
| Aug 3, 2025 | 25.22 Mn |
| May 4, 2025 | -29.10 Mn |
| Feb 2, 2025 | 43.27 Mn |
| Oct 31, 2024 | 25.16 Mn |
| Jul 28, 2024 | 50.66 Mn |
| Apr 28, 2024 | 56.49 Mn |
| Jan 28, 2024 | -1.81 Mn |
| Oct 31, 2023 | 54.14 Mn |
| Jul 30, 2023 | 64.79 Mn |
| Apr 30, 2023 | 55.37 Mn |
| Jan 29, 2023 | -3.42 Mn |
| Oct 31, 2022 | 13.27 Mn |
| Jul 31, 2022 | 81.10 Mn |
| May 1, 2022 | 28.53 Mn |
| Jan 30, 2022 | 39.96 Mn |
| Oct 31, 2021 | 20.88 Mn |
Photronics Free Cash Flow 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=free-cash-flow&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();