SunPower (SPWR) Operating Expenses (2021 - 2026)
SunPower (SPWR) posted Operating Expenses of $48.42 million for Q2 2026, up 48.0% from $32.71 million a year earlier but down 24.2% from the prior quarter.
SunPower (SPWR) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at SunPower was $204.63 million, up 33.4% year-over-year; for FY2025, it came in at $156.14 million, up 44.6% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 677.5% (FY2020 to FY2025).
- In prior years, SunPower's Operating Expenses was $108.01 million in FY2024 (+54.0%), $70.15 million in FY2023 (+71.2%), $40.99 million in FY2022 (+983.7%) and $3.78 million in FY2021.
- Quarterly Operating Expenses has run from a low of $353,484 in Q3 2021 to a high of $63.88 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 119.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 506.5%; the weakest was Q4 2025, with a decline of 6.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $63.88 million (Q1 2026), $58.68 million (Q4 2025) and $33.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 292.57 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 524.00 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 972.05 Mn |
| 10 | SunPower | 46.97 Mn | 18.68 Mn | 24.96 Mn | 48.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 48.42 Mn |
| Mar 29, 2026 | 63.88 Mn |
| Dec 28, 2025 | 58.68 Mn |
| Sep 28, 2025 | 33.65 Mn |
| Jun 29, 2025 | 32.71 Mn |
| Mar 30, 2025 | 31.10 Mn |
| Dec 29, 2024 | 62.77 Mn |
| Sep 29, 2024 | 26.81 Mn |
| Jun 30, 2024 | 8.60 Mn |
| Mar 31, 2024 | 9.83 Mn |
| Dec 31, 2023 | 18.74 Mn |
| Oct 1, 2023 | 17.31 Mn |
| Jun 30, 2023 | 1.51 Mn |
| Mar 31, 2023 | 1.62 Mn |
| Dec 31, 2022 | 14.49 Mn |
| Sep 30, 2022 | 7.20 Mn |
| Jun 30, 2022 | 824,081.00 |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 2.76 Mn |
| Sep 30, 2021 | 353,484.00 |
SunPower 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=SPWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SPWR", "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=SPWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();