Sps Commerce (SPSC) Shares Outstanding (2010 - 2026)
Sps Commerce (SPSC) posted Shares Outstanding of 36.53 million for Q2 2026, down 3.8% from 37.97 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Sps Commerce (SPSC) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Sps Commerce's Shares Outstanding came in at 37.88 million, up 1.5% from FY2024.
- Annual Shares Outstanding has increased for 15 consecutive years, with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Sps Commerce's Shares Outstanding was 37.31 million in FY2024 (+1.8%), 36.65 million in FY2023 (+1.5%), 36.12 million in FY2022 (+0.5%) and 35.93 million in FY2021 (+2.0%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding since Q1 2023.
- On a year-over-year basis, Shares Outstanding increased in six of the last eight quarters, with growth averaging 0.8%.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2025, with growth of 2.5%; the weakest was Q2 2026, with a decline of 3.8%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 37.38 million (Q1 2026), 37.88 million (Q4 2025) and 37.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 578.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 114.68 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 233.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 46.70 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 58.76 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 404.10 Mn |
| 10 | Sps Commerce | 2.93 Bn | 2.32 Bn | 138.79 Mn | 36.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.53 Mn |
| Mar 31, 2026 | 37.38 Mn |
| Dec 31, 2025 | 37.88 Mn |
| Sep 30, 2025 | 37.90 Mn |
| Jun 30, 2025 | 37.97 Mn |
| Mar 31, 2025 | 37.99 Mn |
| Dec 31, 2024 | 37.31 Mn |
| Sep 30, 2024 | 37.45 Mn |
| Jun 30, 2024 | 37.08 Mn |
| Mar 31, 2024 | 37.05 Mn |
| Dec 31, 2023 | 36.65 Mn |
| Sep 30, 2023 | 36.73 Mn |
| Jun 30, 2023 | 36.59 Mn |
| Mar 31, 2023 | 36.43 Mn |
| Dec 31, 2022 | 36.12 Mn |
| Sep 30, 2022 | 36.09 Mn |
| Jun 30, 2022 | 36.09 Mn |
| Mar 31, 2022 | 36.14 Mn |
| Dec 31, 2021 | 35.93 Mn |
| Sep 30, 2021 | 35.96 Mn |
API Access
Sps Commerce Shares Outstanding 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=shares-outstanding&ticker=SPSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();