Quantum (QMCO) Operating Expenses (2010 - 2026)
Quantum's Operating Expenses was $26.68 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 24.4% from $35.31 million a year earlier and down 12.3% from the prior quarter.
Quantum (QMCO) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quantum's Operating Expenses was $118.92 million through Jun 30, 2026, down 16.8% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $127.55 million, down 15.8% from FY2025.
- Operating Expenses has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $151.51 million in FY2025 (-1.5%), $153.77 million in FY2024 (-3.9%), $159.95 million in FY2023 (-0.6%) and $160.88 million in FY2022 (+13.0%).
- The fiscal Q1 2027 figure marks the lowest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Compared with a year earlier, Operating Expenses has declined for six straight quarters, with an average decline of 12.5% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 17.3%); the worst was fiscal Q1 2027 (a decline of 24.4%).
- Per Business Quant data, QMCO's Operating Expenses in the three fiscal quarters before Q1 2027 was $30.41 million (Q4 2026), $30.12 million (Q3 2026) and $31.71 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,048.66 Bn | 4,796.15 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.12 Bn | 360.05 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 311.36 Bn | 267.12 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 230.39 Bn | 183.84 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 203.68 Bn | 192.20 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 153.19 Bn | 148.18 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Sony | 150.51 Bn | 87.77 Bn | 6.53 Bn | 14.83 Bn |
| 8 | Western Digital | 129.03 Bn | 117.16 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 76.62 Bn | 54.50 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Quantum | 386.11 Mn | 288.24 Mn | 31.72 Mn | 26.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.68 Mn |
| Mar 31, 2026 | 30.41 Mn |
| Dec 31, 2025 | 30.12 Mn |
| Sep 30, 2025 | 31.71 Mn |
| Jun 30, 2025 | 35.31 Mn |
| Mar 31, 2025 | 35.83 Mn |
| Dec 31, 2024 | 35.62 Mn |
| Sep 30, 2024 | 36.20 Mn |
| Jun 30, 2024 | 43.86 Mn |
| Mar 31, 2024 | 41.14 Mn |
| Dec 31, 2023 | 35.40 Mn |
| Sep 30, 2023 | 36.45 Mn |
| Jun 30, 2023 | 40.78 Mn |
| Mar 31, 2023 | 41.30 Mn |
| Dec 31, 2022 | 38.52 Mn |
| Sep 30, 2022 | 39.00 Mn |
| Jun 30, 2022 | 41.13 Mn |
| Mar 31, 2022 | 41.78 Mn |
| Dec 31, 2021 | 42.44 Mn |
| Sep 30, 2021 | 39.33 Mn |
Quantum 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=QMCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "QMCO", "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=QMCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();