Specificity (SPTY) Shares Outstanding (2020 - 2026)
Specificity (SPTY) recorded Shares Outstanding of 17.5 million in Q2 2026, up 28.6% from 13.6 million a year earlier and up 5.0% from the prior quarter.
Analysis
Specificity (SPTY) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Specificity reported Shares Outstanding of 13.9 million, up 22.3% from FY2024.
- Annual Shares Outstanding has increased for five straight years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 11.37 million in FY2024 (+10.0%), 10.34 million in FY2023 (+6.0%), 9.75 million in FY2022 (+23.6%) and 7.89 million in FY2021 (+3.9%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding in data going back to Q4 2020.
- On a year-over-year basis, Shares Outstanding has increased for 19 consecutive quarters, with growth averaging 18.6% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 3.9% (Q4 2021) and 28.6% (Q2 2026) over the last five years.
- Per Business Quant, the preceding three quarters came in at 16.66 million (Q1 2026), 13.9 million (Q4 2025) and 13.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 2.97 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | 1.17 Bn |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 396.50 Mn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | 1.83 Bn |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 400.15 Mn |
| 10 | Specificity | 2.47 Mn | 2.43 Mn | 118,436.00 | 17.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.50 Mn |
| Mar 31, 2026 | 16.66 Mn |
| Dec 31, 2025 | 13.90 Mn |
| Sep 30, 2025 | 13.70 Mn |
| Jun 30, 2025 | 13.60 Mn |
| Mar 31, 2025 | 13.55 Mn |
| Dec 31, 2024 | 11.37 Mn |
| Sep 30, 2024 | 11.52 Mn |
| Jun 30, 2024 | 11.38 Mn |
| Mar 31, 2024 | 11.29 Mn |
| Dec 31, 2023 | 10.34 Mn |
| Sep 30, 2023 | 10.78 Mn |
| Jun 30, 2023 | 10.68 Mn |
| Mar 31, 2023 | 10.65 Mn |
| Dec 31, 2022 | 9.75 Mn |
| Sep 30, 2022 | 9.66 Mn |
| Jun 30, 2022 | 9.37 Mn |
| Mar 31, 2022 | 8.88 Mn |
| Dec 31, 2021 | 7.89 Mn |
| Sep 30, 2021 | 7.84 Mn |
API Access
Specificity 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=SPTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SPTY", "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=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();