Sps Commerce (SPSC) Shares Outstanding (Entity) (2010 - 2026)
Sps Commerce (SPSC) posted Shares Outstanding (Entity) of 36.19 million for Q2 2026, down 4.6% from 37.93 million a year earlier and down 2.0% from the prior quarter.
Sps Commerce (SPSC) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Sps Commerce's Shares Outstanding (Entity) came in at 37.52 million, down 0.4% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In prior years, Sps Commerce's Shares Outstanding (Entity) was 37.66 million in FY2024 (+2.3%), 36.82 million in FY2023 (+1.8%), 36.16 million in FY2022 (+0.4%) and 36.01 million in FY2021 (+1.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Entity) since Q4 2022.
- On a year-over-year basis, Shares Outstanding (Entity) has declined in each of the last three quarters, with growth averaging 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q1 2025, with growth of 2.6%; the weakest was Q2 2026, with a decline of 4.6%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 36.95 million (Q1 2026), 37.52 million (Q4 2025) and 37.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 161.91 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 585.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 577.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 110.72 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 233.20 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 93.53 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 58.30 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 405.20 Mn |
| 10 | Sps Commerce | 2.93 Bn | 2.32 Bn | 138.79 Mn | 36.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.19 Mn |
| Mar 31, 2026 | 36.95 Mn |
| Dec 31, 2025 | 37.52 Mn |
| Sep 30, 2025 | 37.73 Mn |
| Jun 30, 2025 | 37.93 Mn |
| Mar 31, 2025 | 38.00 Mn |
| Dec 31, 2024 | 37.66 Mn |
| Sep 30, 2024 | 37.57 Mn |
| Jun 30, 2024 | 37.09 Mn |
| Mar 31, 2024 | 37.05 Mn |
| Dec 31, 2023 | 36.82 Mn |
| Sep 30, 2023 | 36.70 Mn |
| Jun 30, 2023 | 36.65 Mn |
| Mar 31, 2023 | 36.53 Mn |
| Dec 31, 2022 | 36.16 Mn |
| Sep 30, 2022 | 36.04 Mn |
| Jun 30, 2022 | 36.03 Mn |
| Mar 31, 2022 | 36.12 Mn |
| Dec 31, 2021 | 36.01 Mn |
| Sep 30, 2021 | 35.96 Mn |
Sps Commerce Shares Outstanding (Entity) 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-entity&ticker=SPSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=SPSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();