Sps Commerce (SPSC) Research & Development (2010 - 2026)
Sps Commerce (SPSC) reported Research & Development of $16.96 million for Q2 2026, down 1.8% from $17.27 million a year earlier and down 5.4% from the prior quarter.
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Analysis
Sps Commerce (SPSC) Research & Development (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sps Commerce's Research & Development came in at $68.84 million, up 2.5% year-over-year; for FY2025, it came in at $68.68 million, up 9.3% from FY2024.
- Research & Development has increased for seven consecutive years, with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- By year, Research & Development came in at $62.81 million in FY2024 (+17.1%), $53.65 million in FY2023 (+17.3%), $45.75 million in FY2022 (+17.2%) and $39.04 million in FY2021 (+25.8%).
- Five-year quarterly Research & Development spans a low of $10.58 million in Q4 2021 and a high of $17.92 million in Q1 2026.
- Year over year, Research & Development gained in six of the last eight quarters, with growth averaging 9.2%.
- The high point for year-over-year Research & Development in five years was Q3 2021 (growth of 34.8%); the low point was Q4 2025 (a decline of 2.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.92 million (Q1 2026), $16.69 million (Q4 2025) and $17.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Sps Commerce | 2.93 Bn | 2.32 Bn | 138.79 Mn | 16.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.96 Mn |
| Mar 31, 2026 | 17.92 Mn |
| Dec 31, 2025 | 16.69 Mn |
| Sep 30, 2025 | 17.28 Mn |
| Jun 30, 2025 | 17.27 Mn |
| Mar 31, 2025 | 17.44 Mn |
| Dec 31, 2024 | 17.14 Mn |
| Sep 30, 2024 | 15.29 Mn |
| Jun 30, 2024 | 14.37 Mn |
| Mar 31, 2024 | 16.01 Mn |
| Dec 31, 2023 | 14.22 Mn |
| Sep 30, 2023 | 13.56 Mn |
| Jun 30, 2023 | 13.32 Mn |
| Mar 31, 2023 | 12.56 Mn |
| Dec 31, 2022 | 12.48 Mn |
| Sep 30, 2022 | 11.14 Mn |
| Jun 30, 2022 | 11.43 Mn |
| Mar 31, 2022 | 10.70 Mn |
| Dec 31, 2021 | 10.58 Mn |
| Sep 30, 2021 | 10.85 Mn |
API Access
Sps Commerce Research & Development 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=research-and-development&ticker=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();