Ciena (CIEN) Accumulated Expenses (2009 - 2026)
Ciena (CIEN) posted Accumulated Expenses of $508.15 million for fiscal Q3 2026 (quarter ended Aug 1, 2026), up 16.5% from $436.31 million a year earlier and up 15.6% from the prior quarter.
Ciena (CIEN) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 1, 2025), Ciena's Accumulated Expenses came in at $531.08 million, up 34.8% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In prior fiscal years, Ciena's Accumulated Expenses was $393.91 million in FY2024 (-8.7%), $431.42 million in FY2023 (+19.6%), $360.78 million in FY2022 (-11.9%) and $409.29 million in FY2021 (+22.5%).
- Quarterly Accumulated Expenses has run from a low of $329.91 million in fiscal Q1 2024 to a high of $531.08 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last seven quarters, with growth averaging 13.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2025, with growth of 34.8%; the weakest was fiscal Q4 2022, with a decline of 11.9%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $439.63 million (Q2 2026), $395.88 million (Q1 2026) and $531.08 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,023.53 Bn | 4,771.02 Bn | 54.77 Bn |
| 2 | Cisco Systems | 434.59 Bn | 370.52 Bn | 11.06 Bn |
| 3 | Dell Technologies | 303.32 Bn | 259.08 Bn | 9.83 Bn |
| 4 | Arista Networks | 233.08 Bn | 186.53 Bn | 1.91 Bn |
| 5 | Sandisk | 204.99 Bn | 193.51 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 151.41 Bn | 146.40 Bn | 1.90 Bn |
| 7 | Sony | 147.67 Bn | 84.93 Bn | 6.53 Bn |
| 8 | Western Digital | 122.89 Bn | 111.02 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 78.34 Bn | 56.22 Bn | 4.93 Bn |
| 10 | Ciena | 50.51 Bn | 44.07 Bn | 759.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 508.15 Mn |
| May 2, 2026 | 439.63 Mn |
| Jan 31, 2026 | 395.88 Mn |
| Nov 1, 2025 | 531.08 Mn |
| Aug 2, 2025 | 436.31 Mn |
| May 3, 2025 | 381.40 Mn |
| Feb 1, 2025 | 362.02 Mn |
| Nov 2, 2024 | 393.91 Mn |
| Jul 27, 2024 | 347.24 Mn |
| Apr 27, 2024 | 355.26 Mn |
| Jan 27, 2024 | 329.91 Mn |
| Oct 28, 2023 | 431.42 Mn |
| Jul 29, 2023 | 355.62 Mn |
| Apr 29, 2023 | 380.97 Mn |
| Jan 28, 2023 | 343.94 Mn |
| Oct 29, 2022 | 360.78 Mn |
| Oct 30, 2021 | 409.29 Mn |
| Oct 31, 2020 | 334.13 Mn |
| May 2, 2020 | 288.77 Mn |
| Jan 31, 2020 | 273.31 Mn |
Ciena Accumulated Expenses 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=accumulated-expenses&ticker=CIEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CIEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CIEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();