Coherent (COHR) Change in Accured Expenses (2015 - 2026)
Coherent (COHR) recorded Change in Accured Expenses of $81.47 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 146.2% from $33.09 million a year earlier and up 143.2% from the prior quarter.
Coherent (COHR) Change in Accured Expenses (2015 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Coherent reported Change in Accured Expenses of $99.4 million, up 57.9% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 32.9% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $62.96 million in FY2025 (+70.7%), $36.89 million in FY2024, -$60.6 million in FY2023 and -$9.38 million in FY2022.
- The fiscal Q4 2026 figure is the highest quarterly Change in Accured Expenses in data going back to fiscal Q1 2016.
- On a year-over-year basis, Change in Accured Expenses has increased for three consecutive quarters, with growth averaging 120.4% over the last five quarters.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 347.9% in fiscal Q2 2025, against a decline of 82.1% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $33.49 million (Q3 2026), $32.64 million (Q2 2026) and -$48.21 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,079.59 Bn | 4,827.08 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 420.62 Bn | 356.55 Bn | 11.06 Bn | 789.00 Mn |
| 3 | Dell Technologies | 295.47 Bn | 251.23 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 217.00 Bn | 170.46 Bn | 1.91 Bn | - |
| 5 | Sandisk | 183.54 Bn | 172.06 Bn | 7.58 Bn | 304.00 Mn |
| 6 | Sony | 156.21 Bn | 93.47 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 139.48 Bn | 134.47 Bn | 1.90 Bn | 182.00 Mn |
| 8 | Western Digital | 117.81 Bn | 105.94 Bn | 2.03 Bn | 50.00 Mn |
| 9 | Hewlett Packard Enterprise | 75.95 Bn | 53.83 Bn | 4.93 Bn | - |
| 10 | Coherent | 37.03 Bn | 30.91 Bn | 787.08 Mn | 81.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.47 Mn |
| Mar 31, 2026 | 33.49 Mn |
| Dec 31, 2025 | 32.64 Mn |
| Sep 30, 2025 | -48.21 Mn |
| Jun 30, 2025 | 33.09 Mn |
| Mar 31, 2025 | 28.80 Mn |
| Dec 31, 2024 | 16.54 Mn |
| Sep 30, 2024 | -15.47 Mn |
| Jun 30, 2024 | 35.06 Mn |
| Mar 31, 2024 | -9.34 Mn |
| Dec 31, 2023 | 3.69 Mn |
| Sep 30, 2023 | 7.48 Mn |
| Jun 30, 2023 | -5.70 Mn |
| Mar 31, 2023 | -30.66 Mn |
| Dec 31, 2022 | 20.68 Mn |
| Sep 30, 2022 | -44.91 Mn |
| Jun 30, 2022 | 30.65 Mn |
| Mar 31, 2022 | -4.74 Mn |
| Dec 31, 2021 | 20.99 Mn |
| Sep 30, 2021 | -56.27 Mn |
Coherent Change in Accured 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=change-in-accured-expenses&ticker=COHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=COHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();