Sps Commerce (SPSC) Operating Expenses (2010 - 2026)
Sps Commerce (SPSC) posted Operating Expenses of $130.37 million for Q2 2026, up 29.0% from $101.1 million a year earlier and up 20.3% from the prior quarter.
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Analysis
Sps Commerce (SPSC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Sps Commerce was $440.51 million, up 16.9% year-over-year; for FY2025, it was $401.57 million, up 18.7% from FY2024.
- Annual Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- In prior years, Sps Commerce's Operating Expenses was $338.17 million in FY2024 (+21.8%), $277.59 million in FY2023 (+22.5%), $226.63 million in FY2022 (+14.2%) and $198.51 million in FY2021 (+22.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last 30 quarters, with growth averaging 20.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 9.8% in Q1 2026 to 29.0% in Q2 2026.
- According to Business Quant data, Operating Expenses for the three prior quarters was $108.35 million (Q1 2026), $101.01 million (Q4 2025) and $100.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Sps Commerce | 2.93 Bn | 2.32 Bn | 138.79 Mn | 130.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.37 Mn |
| Mar 31, 2026 | 108.35 Mn |
| Dec 31, 2025 | 101.01 Mn |
| Sep 30, 2025 | 100.78 Mn |
| Jun 30, 2025 | 101.10 Mn |
| Mar 31, 2025 | 98.68 Mn |
| Dec 31, 2024 | 90.58 Mn |
| Sep 30, 2024 | 86.49 Mn |
| Jun 30, 2024 | 78.41 Mn |
| Mar 31, 2024 | 82.69 Mn |
| Dec 31, 2023 | 73.04 Mn |
| Sep 30, 2023 | 69.54 Mn |
| Jun 30, 2023 | 68.84 Mn |
| Mar 31, 2023 | 66.17 Mn |
| Dec 31, 2022 | 61.46 Mn |
| Sep 30, 2022 | 56.19 Mn |
| Jun 30, 2022 | 55.68 Mn |
| Mar 31, 2022 | 53.29 Mn |
| Dec 31, 2021 | 51.75 Mn |
| Sep 30, 2021 | 50.02 Mn |
API Access
Sps Commerce 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=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SPSC", "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=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();