Manhattan Associates (MANH) Change in Acquisitions & Divestments (2010 - 2019)
Manhattan Associates' Change in Acquisitions & Divestments came in at -$1.44 million for Q1 2019, compared with $12.6 million a year earlier.
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Analysis
Manhattan Associates (MANH) Change in Acquisitions & Divestments (2010 - 2019) Analysis & Trends
Going back to Q3 2010, Manhattan Associates' Change in Acquisitions & Divestments data covers 25 quarters.
- The five-year range for quarterly Change in Acquisitions & Divestments is -$7.4 million (Q2 2018) to $12.6 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -1.44 Mn |
| Jun 30, 2018 | -7.40 Mn |
| Mar 31, 2018 | 12.60 Mn |
| Sep 30, 2017 | -4.97 Mn |
| Jun 30, 2017 | -2.17 Mn |
| Mar 31, 2017 | 11.63 Mn |
| Sep 30, 2016 | -2.09 Mn |
| Jun 30, 2016 | -6.70 Mn |
| Mar 31, 2016 | -1.42 Mn |
| Sep 30, 2015 | 2.27 Mn |
| Jun 30, 2015 | -1.73 Mn |
| Mar 31, 2015 | 1.28 Mn |
| Sep 30, 2014 | 408,000.00 |
| Jun 30, 2014 | 1.01 Mn |
| Mar 31, 2014 | 427,000.00 |
| Sep 30, 2013 | 199,000.00 |
| Jun 30, 2013 | 940,000.00 |
| Mar 31, 2013 | 1.12 Mn |
| Sep 30, 2012 | 1.46 Mn |
| Jun 30, 2012 | 883,000.00 |
API Access
Manhattan Associates Change in Acquisitions & Divestments 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=change-in-acquisitions-and-divestments&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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=change-in-acquisitions-and-divestments&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();