Coherent (COHR) Other Accumulated Expenses (2010 - 2026)
Coherent's Other Accumulated Expenses was $347.99 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.7% from $335.56 million a year earlier and up 4.6% from the prior quarter.
Coherent (COHR) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Coherent has reported Other Accumulated Expenses for 65 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $335.56 million in FY2025 (+13.9%), $294.71 million in FY2024 (-5.0%), $310.28 million in FY2023 (+55.3%) and $199.83 million in FY2022 (+37.0%).
- The fiscal Q4 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2010.
- Compared with a year earlier, Other Accumulated Expenses has increased for six straight quarters, with growth averaging 7.3% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q1 2023 (growth of 104.1%); the worst was fiscal Q2 2025 (a decline of 12.4%).
- Per Business Quant data, COHR's Other Accumulated Expenses in the three fiscal quarters before Q4 2026 was $332.79 million (Q3 2026), $312.03 million (Q2 2026) and $317.61 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,079.97 Bn | 4,827.46 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.25 Bn | 356.18 Bn | 11.06 Bn |
| 3 | Dell Technologies | 292.20 Bn | 247.96 Bn | 9.83 Bn |
| 4 | Arista Networks | 217.24 Bn | 170.70 Bn | 1.91 Bn |
| 5 | Sandisk | 180.75 Bn | 169.27 Bn | 7.58 Bn |
| 6 | Sony | 160.45 Bn | 100.21 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 142.99 Bn | 137.98 Bn | 1.90 Bn |
| 8 | Western Digital | 128.64 Bn | 118.47 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 75.30 Bn | 53.18 Bn | 4.93 Bn |
| 10 | Coherent | 40.98 Bn | 35.19 Bn | 787.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 347.99 Mn |
| Mar 31, 2026 | 332.79 Mn |
| Dec 31, 2025 | 312.03 Mn |
| Sep 30, 2025 | 317.61 Mn |
| Jun 30, 2025 | 335.56 Mn |
| Mar 31, 2025 | 312.62 Mn |
| Dec 31, 2024 | 238.62 Mn |
| Sep 30, 2024 | 257.68 Mn |
| Jun 30, 2024 | 294.71 Mn |
| Mar 31, 2024 | 309.48 Mn |
| Dec 31, 2023 | 272.27 Mn |
| Sep 30, 2023 | 280.79 Mn |
| Jun 30, 2023 | 310.28 Mn |
| Mar 31, 2023 | 311.41 Mn |
| Dec 31, 2022 | 306.03 Mn |
| Sep 30, 2022 | 304.49 Mn |
| Jun 30, 2022 | 199.83 Mn |
| Mar 31, 2022 | 173.37 Mn |
| Dec 31, 2021 | 167.85 Mn |
| Sep 30, 2021 | 149.17 Mn |
Coherent Other 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=other-accumulated-expenses&ticker=COHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=COHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();