Photronics (PLAB) Receivables (2010 - 2026)
Photronics (PLAB) reported Receivables of $211.65 million for fiscal Q3 2026 (quarter ended Aug 2, 2026), down 4.4% from $221.28 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Photronics (PLAB) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Photronics posted Receivables of $226.5 million, down 1.5% from FY2024.
- Receivables has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- By fiscal year, Receivables came in at $230.05 million in FY2024 (+4.8%), $219.52 million in FY2023 (+0.2%), $218.99 million in FY2022 (+18.8%) and $184.31 million in FY2021 (+30.9%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Receivables since fiscal Q3 2023.
- Year over year, Receivables has now declined in each of the last five quarters, with an average decline of 0.8% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q4 2021 (growth of 30.9%); the low point was fiscal Q3 2026 (a decline of 4.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $218.63 million (Q2 2026), $227.56 million (Q1 2026) and $226.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn | 13.84 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn | 36.65 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn | 4.07 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Photronics | 1.68 Bn | -854.37 Mn | 71.73 Mn | 211.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 211.65 Mn |
| May 3, 2026 | 218.63 Mn |
| Feb 1, 2026 | 227.56 Mn |
| Oct 31, 2025 | 226.50 Mn |
| Aug 3, 2025 | 221.28 Mn |
| May 4, 2025 | 227.71 Mn |
| Feb 2, 2025 | 228.27 Mn |
| Oct 31, 2024 | 230.05 Mn |
| Jul 28, 2024 | 227.32 Mn |
| Apr 28, 2024 | 221.05 Mn |
| Jan 28, 2024 | 232.16 Mn |
| Oct 31, 2023 | 219.52 Mn |
| Jul 30, 2023 | 206.13 Mn |
| Apr 30, 2023 | 214.46 Mn |
| Jan 29, 2023 | 220.69 Mn |
| Oct 31, 2022 | 218.99 Mn |
| Jul 31, 2022 | 206.50 Mn |
| May 1, 2022 | 190.26 Mn |
| Jan 30, 2022 | 182.47 Mn |
| Oct 31, 2021 | 184.31 Mn |
API Access
Photronics Receivables 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=receivables&ticker=PLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();