Synopsys (SNPS) Amortization of Deferred Charges (2019 - 2026)
Synopsys (SNPS) reported Amortization of Deferred Charges of $29.7 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 120.0% from $13.5 million a year earlier.
Synopsys (SNPS) Amortization of Deferred Charges (2019 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Synopsys' Amortization of Deferred Charges came in at $76.79 million, up 38.6% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $53.24 million, down 27.7% from FY2024.
- Amortization of Deferred Charges has a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- By fiscal year, Amortization of Deferred Charges came in at $73.59 million in FY2024 (-10.5%), $82.19 million in FY2023 (+12.5%), $73.03 million in FY2022 (+12.9%) and $64.7 million in FY2021 (+5.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Amortization of Deferred Charges in data going back to fiscal Q1 2019.
- Year over year, Amortization of Deferred Charges gained in two of the last seven quarters, with growth averaging 6.6%.
- The high point for year-over-year Amortization of Deferred Charges in five years was fiscal Q3 2026 (growth of 120.0%); the low point was fiscal Q1 2025 (a decline of 33.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Synopsys | 93.87 Bn | 90.26 Bn | 1.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 29.70 Mn |
| Jan 31, 2026 | 19.28 Mn |
| Oct 31, 2025 | 14.32 Mn |
| Jul 31, 2025 | 13.50 Mn |
| Apr 30, 2025 | 12.94 Mn |
| Jan 31, 2025 | 12.47 Mn |
| Oct 31, 2024 | 16.52 Mn |
| Jul 31, 2024 | 19.16 Mn |
| Apr 30, 2024 | 19.19 Mn |
| Jan 31, 2024 | 18.73 Mn |
| Oct 31, 2023 | 20.51 Mn |
| Jul 31, 2023 | 22.10 Mn |
| Apr 30, 2023 | 20.70 Mn |
| Jan 31, 2023 | 18.85 Mn |
| Oct 31, 2022 | 18.59 Mn |
| Jul 31, 2022 | 19.90 Mn |
| Apr 30, 2022 | 17.80 Mn |
| Jan 31, 2022 | 16.74 Mn |
| Oct 31, 2021 | 17.70 Mn |
| Jul 31, 2021 | 16.50 Mn |
Synopsys Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();