Synopsys (SNPS) Inventory (2017 - 2026)
Synopsys' Inventory was $479.13 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 25.4% from $382.06 million a year earlier.
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Analysis
Synopsys (SNPS) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Inventory at Synopsys came in at $365.19 million, up 0.9% from FY2024.
- Inventory has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In earlier fiscal years, Inventory was $361.85 million in FY2024 (+11.1%), $325.59 million in FY2023 (+53.6%), $211.93 million in FY2022 (-7.5%) and $229.02 million in FY2021 (+19.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Inventory in data going back to fiscal Q4 2017.
- Compared with a year earlier, Inventory was higher in five of the last seven quarters, with growth averaging 6.3%.
- The best year-over-year quarter for Inventory over five years was fiscal Q1 2024 (growth of 73.3%); the worst was fiscal Q3 2022 (a decline of 8.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 479.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 479.13 Mn |
| Jan 31, 2026 | 393.22 Mn |
| Oct 31, 2025 | 365.19 Mn |
| Jul 31, 2025 | 382.06 Mn |
| Apr 30, 2025 | 395.34 Mn |
| Jan 31, 2025 | 415.20 Mn |
| Oct 31, 2024 | 361.85 Mn |
| Jul 31, 2024 | 386.01 Mn |
| Apr 30, 2024 | 377.88 Mn |
| Jan 31, 2024 | 382.73 Mn |
| Oct 31, 2023 | 325.59 Mn |
| Jul 31, 2023 | 282.79 Mn |
| Apr 30, 2023 | 256.43 Mn |
| Jan 31, 2023 | 220.88 Mn |
| Oct 31, 2022 | 211.93 Mn |
| Jul 31, 2022 | 219.74 Mn |
| Apr 30, 2022 | 213.53 Mn |
| Jan 31, 2022 | 212.92 Mn |
| Oct 31, 2021 | 229.02 Mn |
| Jul 31, 2021 | 241.10 Mn |
API Access
Synopsys Inventory 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=inventory&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "SNPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();