Ciena (CIEN) Operating Expenses (2009 - 2026)
Ciena (CIEN) reported Operating Expenses of $458.09 million for fiscal Q3 2026 (quarter ended Aug 1, 2026), up 6.6% from $429.54 million a year earlier and up 1.0% from the prior quarter.
Ciena (CIEN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Ciena's Operating Expenses came in at $1.91 billion, up 16.6% year-over-year; for FY2025 (ended Nov 1, 2025), it came in at $1.81 billion, up 16.4% from FY2024.
- Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $1.55 billion in FY2024 (+2.1%), $1.52 billion in FY2023 (+13.7%), $1.34 billion in FY2022 (+9.0%) and $1.23 billion in FY2021 (+5.2%).
- Five-year quarterly Operating Expenses spans a low of $313.67 million in fiscal Q3 2022 and a high of $566.69 million in fiscal Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last 16 quarters, with growth averaging 11.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 41.4%); the low point was fiscal Q3 2022 (a decline of 3.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $453.68 million (Q2 2026), $436.11 million (Q1 2026) and $566.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,023.53 Bn | 4,771.02 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 434.59 Bn | 370.52 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 303.32 Bn | 259.08 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 233.08 Bn | 186.53 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 204.99 Bn | 193.51 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 151.41 Bn | 146.40 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Sony | 147.67 Bn | 84.93 Bn | 6.53 Bn | 14.83 Bn |
| 8 | Western Digital | 122.89 Bn | 111.02 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 78.34 Bn | 56.22 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Ciena | 50.51 Bn | 44.07 Bn | 759.27 Mn | 458.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 458.09 Mn |
| May 2, 2026 | 453.68 Mn |
| Jan 31, 2026 | 436.11 Mn |
| Nov 1, 2025 | 566.69 Mn |
| Aug 2, 2025 | 429.54 Mn |
| May 3, 2025 | 420.00 Mn |
| Feb 1, 2025 | 391.16 Mn |
| Nov 2, 2024 | 400.81 Mn |
| Jul 27, 2024 | 377.20 Mn |
| Apr 27, 2024 | 392.63 Mn |
| Jan 27, 2024 | 382.33 Mn |
| Oct 28, 2023 | 394.98 Mn |
| Jul 29, 2023 | 370.73 Mn |
| Apr 29, 2023 | 384.87 Mn |
| Jan 28, 2023 | 370.73 Mn |
| Oct 29, 2022 | 356.33 Mn |
| Jul 30, 2022 | 313.67 Mn |
| Apr 30, 2022 | 343.35 Mn |
| Jan 29, 2022 | 324.18 Mn |
| Oct 30, 2021 | 339.71 Mn |
Ciena Operating 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=operating-expenses&ticker=CIEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CIEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();