Coherent (COHR) Operating Expenses (2009 - 2026)
Coherent's Operating Expenses was $1.77 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.9% from $1.59 billion a year earlier and up 9.0% from the prior quarter.
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Analysis
Coherent (COHR) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Coherent came in at $6.27 billion, up 9.7% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 17.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $5.72 billion in FY2025 (+17.7%), $4.86 billion in FY2024 (-12.0%), $5.52 billion in FY2023 (+81.7%) and $3.03 billion in FY2022 (+10.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2010.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 13.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2023 (growth of 98.0%); the worst was fiscal Q2 2024 (a decline of 18.6%).
- Per Business Quant data, COHR's Operating Expenses in the three fiscal quarters before Q4 2026 was $1.62 billion (Q3 2026), $1.52 billion (Q2 2026) and $1.36 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Coherent | 56.36 Bn | 50.57 Bn | 787.08 Mn | 1.77 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 1.62 Bn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.59 Bn |
| Mar 31, 2025 | 1.49 Bn |
| Dec 31, 2024 | 1.31 Bn |
| Sep 30, 2024 | 1.33 Bn |
| Jun 30, 2024 | 1.30 Bn |
| Mar 31, 2024 | 1.24 Bn |
| Dec 31, 2023 | 1.17 Bn |
| Sep 30, 2023 | 1.14 Bn |
| Jun 30, 2023 | 1.44 Bn |
| Mar 31, 2023 | 1.24 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Sep 30, 2022 | 1.40 Bn |
| Jun 30, 2022 | 837.98 Mn |
| Mar 31, 2022 | 764.70 Mn |
| Dec 31, 2021 | 727.47 Mn |
| Sep 30, 2021 | 704.67 Mn |
API Access
Coherent 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=COHR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COHR", "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=COHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();