Manhattan Associates (MANH) Shares Outstanding (Entity) (2010 - 2026)
Manhattan Associates' Shares Outstanding (Entity) came in at 58.3 million for Q2 2026, down 3.6% from 60.47 million a year earlier and down 1.5% from the prior quarter.
Manhattan Associates (MANH) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Manhattan Associates' Shares Outstanding (Entity) was 59.85 million, down 1.8% from FY2024.
- Shares Outstanding (Entity) has declined in each of the last five years, with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 60.92 million in FY2024 (-1.0%), 61.57 million in FY2023 (-1.0%), 62.19 million in FY2022 (-1.5%) and 63.15 million in FY2021 (-0.6%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) in data going back to Q1 2010.
- Year-over-year, Shares Outstanding (Entity) has declined for 21 consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Entity) ranged from 0.4% (Q3 2021) to 3.6% (Q2 2026).
- Business Quant data shows MANH's Shares Outstanding (Entity) at 59.16 million (Q1 2026), 59.85 million (Q4 2025) and 60.26 million (Q3 2025) in the three quarters before Q2 2026.
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 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 301.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.30 Mn |
| Mar 31, 2026 | 59.16 Mn |
| Dec 31, 2025 | 59.85 Mn |
| Sep 30, 2025 | 60.26 Mn |
| Jun 30, 2025 | 60.47 Mn |
| Mar 31, 2025 | 60.71 Mn |
| Dec 31, 2024 | 60.92 Mn |
| Sep 30, 2024 | 61.07 Mn |
| Jun 30, 2024 | 61.25 Mn |
| Mar 31, 2024 | 61.57 Mn |
| Dec 31, 2023 | 61.57 Mn |
| Sep 30, 2023 | 61.56 Mn |
| Jun 30, 2023 | 61.67 Mn |
| Mar 31, 2023 | 62.03 Mn |
| Dec 31, 2022 | 62.19 Mn |
| Sep 30, 2022 | 62.39 Mn |
| Jun 30, 2022 | 62.72 Mn |
| Mar 31, 2022 | 63.11 Mn |
| Dec 31, 2021 | 63.15 Mn |
| Sep 30, 2021 | 63.28 Mn |
Manhattan Associates 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=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "MANH", "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=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();