Photronics (PLAB) Cost of Revenue (2011 - 2026)
Photronics (PLAB) posted Cost of Revenue of $144.31 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), up 3.4% from $139.54 million a year earlier and up 0.1% from the prior quarter.
Photronics (PLAB) Cost of Revenue (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 2, 2026, Cost of Revenue at Photronics was $575.1 million, up 4.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $549.46 million, down 0.3% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior fiscal years, Photronics' Cost of Revenue was $551 million in FY2024 (-0.9%), $555.91 million in FY2023 (+4.8%), $530.34 million in FY2022 (+6.8%) and $496.72 million in FY2021 (+4.6%).
- Quarterly Cost of Revenue has run from a low of $129.35 million in fiscal Q4 2021 to a high of $146.36 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last three quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q2 2022, with growth of 11.4%; the weakest was fiscal Q2 2025, with a decline of 3.4%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $144.18 million (Q2 2026), $146.36 million (Q1 2026) and $140.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn | 7.18 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn | 5.45 Bn |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn | 4.53 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn | 3.92 Bn |
| 10 | Photronics | 1.64 Bn | -434.32 Mn | 71.73 Mn | 144.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 144.31 Mn |
| May 3, 2026 | 144.18 Mn |
| Feb 1, 2026 | 146.36 Mn |
| Oct 31, 2025 | 140.24 Mn |
| Aug 3, 2025 | 139.54 Mn |
| May 4, 2025 | 133.09 Mn |
| Feb 2, 2025 | 136.60 Mn |
| Oct 31, 2024 | 140.33 Mn |
| Jul 28, 2024 | 135.85 Mn |
| Apr 28, 2024 | 137.75 Mn |
| Jan 28, 2024 | 137.08 Mn |
| Oct 31, 2023 | 142.59 Mn |
| Jul 30, 2023 | 137.41 Mn |
| Apr 30, 2023 | 140.90 Mn |
| Jan 29, 2023 | 135.01 Mn |
| Oct 31, 2022 | 130.00 Mn |
| Jul 31, 2022 | 136.09 Mn |
| May 1, 2022 | 134.29 Mn |
| Jan 30, 2022 | 129.96 Mn |
| Oct 31, 2021 | 129.35 Mn |
Photronics Cost of Revenue 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=cost-of-revenue&ticker=PLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();