Surge Components (SPRS) Operating Expenses (2010 - 2026)
Surge Components (SPRS) recorded Operating Expenses of $2.43 million in fiscal Q2 2026 (quarter ended May 31, 2026), down 7.5% from $2.63 million a year earlier and down 5.2% from the prior quarter.
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Analysis
Surge Components (SPRS) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Surge Components' Operating Expenses came in at $9.52 million as of May 31, 2026, up 10.0% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $9.2 million, up 15.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $8 million in FY2024 (-5.0%), $8.42 million in FY2023 (-12.3%), $9.6 million in FY2022 (+24.1%) and $7.73 million in FY2021 (+6.4%).
- Quarterly Operating Expenses has ranged from $1.83 million in fiscal Q3 2021 to $3.06 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 9.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 57.9% in fiscal Q2 2022, against a decline of 26.7% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.57 million (Q1 2026), $2.34 million (Q4 2025) and $2.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Surge Components | 22.89 Mn | -33.67 Mn | 2.89 Mn | 2.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.43 Mn |
| Feb 28, 2026 | 2.57 Mn |
| Nov 30, 2025 | 2.34 Mn |
| Aug 31, 2025 | 2.19 Mn |
| May 31, 2025 | 2.63 Mn |
| Feb 28, 2025 | 2.05 Mn |
| Nov 30, 2024 | 2.03 Mn |
| Aug 31, 2024 | 1.95 Mn |
| May 31, 2024 | 1.89 Mn |
| Feb 29, 2024 | 2.13 Mn |
| Nov 30, 2023 | 2.00 Mn |
| Aug 31, 2023 | 2.08 Mn |
| May 31, 2023 | 2.25 Mn |
| Feb 28, 2023 | 2.09 Mn |
| Nov 30, 2022 | 2.27 Mn |
| Aug 31, 2022 | 2.24 Mn |
| May 31, 2022 | 3.06 Mn |
| Feb 28, 2022 | 2.02 Mn |
| Nov 30, 2021 | 2.02 Mn |
| Aug 31, 2021 | 1.83 Mn |
API Access
Surge Components 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=SPRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SPRS", "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=SPRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();