Manhattan Associates (MANH) Shares Outstanding (Diluted) (2010 - 2026)
Manhattan Associates' Weighted Average Shares Outstanding (Diluted) was 59 million in Q3 2026, down 3.2% from 60.95 million a year earlier and unchanged from the prior quarter.
Manhattan Associates (MANH) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Manhattan Associates came in at 61.05 million, down 1.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now declined for four consecutive years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 62.18 million in FY2024 (-0.7%), 62.61 million in FY2023 (-1.3%), 63.41 million in FY2022 (-1.4%) and 64.32 million in FY2021 (unchanged).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 59 million (Q2 2026) and 64.32 million (Q4 2021) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for 19 straight quarters, with an average decline of 2.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Weighted Average Shares Outstanding (Diluted) ran from 0.0% in Q4 2021 to 3.4% in Q2 2026.
- Per Business Quant data, MANH's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 59 million (Q2 2026), 60.04 million (Q1 2026) and 61.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 114.98 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 592.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 59.00 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 317.69 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 233.20 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 401.90 Mn |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | 150.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.00 Mn |
| Jun 30, 2026 | 59.00 Mn |
| Mar 31, 2026 | 60.04 Mn |
| Dec 31, 2025 | 61.05 Mn |
| Sep 30, 2025 | 60.95 Mn |
| Jun 30, 2025 | 61.07 Mn |
| Mar 31, 2025 | 61.53 Mn |
| Dec 31, 2024 | 62.18 Mn |
| Sep 30, 2024 | 61.95 Mn |
| Jun 30, 2024 | 62.12 Mn |
| Mar 31, 2024 | 62.49 Mn |
| Dec 31, 2023 | 62.61 Mn |
| Sep 30, 2023 | 62.31 Mn |
| Jun 30, 2023 | 62.43 Mn |
| Mar 31, 2023 | 62.77 Mn |
| Dec 31, 2022 | 63.41 Mn |
| Sep 30, 2022 | 63.17 Mn |
| Jun 30, 2022 | 63.42 Mn |
| Mar 31, 2022 | 63.87 Mn |
| Dec 31, 2021 | 64.32 Mn |
Manhattan Associates Shares Outstanding (Diluted) 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-diluted&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();