Csp (CSPI) Operating Expenses (2010 - 2026)
Csp (CSPI) recorded Operating Expenses of $5.88 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.5% from $5.68 million a year earlier and up 10.4% from the prior quarter.
Csp (CSPI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Csp's Operating Expenses came in at $21.87 million as of Jun 30, 2026, up 1.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $21.62 million, up 4.3% from FY2024.
- Annual Operating Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $20.73 million in FY2024 (+3.4%), $20.05 million in FY2023 (+6.3%), $18.87 million in FY2022 (+7.7%) and $17.51 million in FY2021 (-5.8%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses since fiscal Q4 2018.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 3.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 25.6% in fiscal Q4 2022, against a decline of 8.0% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.32 million (Q2 2026), $4.85 million (Q1 2026) and $5.83 million (Q4 2025).
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 | Csp | 76.94 Mn | -23.17 Mn | 4.33 Mn | 5.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.88 Mn |
| Mar 31, 2026 | 5.32 Mn |
| Dec 31, 2025 | 4.85 Mn |
| Sep 30, 2025 | 5.83 Mn |
| Jun 30, 2025 | 5.68 Mn |
| Mar 31, 2025 | 5.20 Mn |
| Dec 31, 2024 | 4.92 Mn |
| Sep 30, 2024 | 5.74 Mn |
| Jun 30, 2024 | 5.30 Mn |
| Mar 31, 2024 | 5.24 Mn |
| Dec 31, 2023 | 4.44 Mn |
| Sep 30, 2023 | 5.49 Mn |
| Jun 30, 2023 | 5.35 Mn |
| Mar 31, 2023 | 4.75 Mn |
| Dec 31, 2022 | 4.45 Mn |
| Sep 30, 2022 | 5.68 Mn |
| Jun 30, 2022 | 4.96 Mn |
| Mar 31, 2022 | 4.22 Mn |
| Dec 31, 2021 | 4.01 Mn |
| Sep 30, 2021 | 4.52 Mn |
Csp 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=CSPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CSPI", "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=CSPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();