Manhattan Associates (MANH) Shares Outstanding (2010 - 2026)
Manhattan Associates' Shares Outstanding was 58.76 million in Q2 2026, down 3.1% from 60.61 million a year earlier and down 1.6% from the prior quarter.
Manhattan Associates (MANH) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Manhattan Associates came in at 60.47 million, down 1.4% from FY2024.
- Shares Outstanding has now declined for 16 consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 61.3 million in FY2024 (-0.8%), 61.82 million in FY2023 (-1.5%), 62.77 million in FY2022 (-1.1%) and 63.45 million in FY2021 (-0.1%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding in data going back to Q1 2010.
- Compared with a year earlier, Shares Outstanding has declined for 20 straight quarters, with an average decline of 1.5% over the last eight quarters.
- The year-over-year decline in Shares Outstanding has ranged between 0.1% (Q4 2021) and 3.1% (Q2 2026) over the last five years.
- Per Business Quant data, MANH's Shares Outstanding in the three quarters before Q2 2026 was 59.69 million (Q1 2026), 60.47 million (Q4 2025) and 60.38 million (Q3 2025).
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 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 311.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.76 Mn |
| Mar 31, 2026 | 59.69 Mn |
| Dec 31, 2025 | 60.47 Mn |
| Sep 30, 2025 | 60.38 Mn |
| Jun 30, 2025 | 60.61 Mn |
| Mar 31, 2025 | 60.87 Mn |
| Dec 31, 2024 | 61.30 Mn |
| Sep 30, 2024 | 61.17 Mn |
| Jun 30, 2024 | 61.42 Mn |
| Mar 31, 2024 | 61.63 Mn |
| Dec 31, 2023 | 61.82 Mn |
| Sep 30, 2023 | 61.64 Mn |
| Jun 30, 2023 | 61.86 Mn |
| Mar 31, 2023 | 62.21 Mn |
| Dec 31, 2022 | 62.77 Mn |
| Sep 30, 2022 | 62.59 Mn |
| Jun 30, 2022 | 62.95 Mn |
| Mar 31, 2022 | 63.21 Mn |
| Dec 31, 2021 | 63.45 Mn |
| Sep 30, 2021 | 63.36 Mn |
Manhattan Associates 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=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();