Manhattan Associates (MANH) Cash & Equivalents (2010 - 2026)
Manhattan Associates (MANH) posted Cash & Equivalents of $186.11 million for Q2 2026, down 19.3% from $230.59 million a year earlier and down 17.7% from the prior quarter.
Manhattan Associates (MANH) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Manhattan Associates' Cash & Equivalents came in at $328.75 million, up 23.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In prior years, Manhattan Associates' Cash & Equivalents was $266.23 million in FY2024 (-1.7%), $270.74 million in FY2023 (+20.1%), $225.46 million in FY2022 (-14.5%) and $263.71 million in FY2021 (+28.8%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q3 2023.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 8.2%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 48.2%; the weakest was Q2 2023, with a decline of 28.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $226.13 million (Q1 2026), $328.75 million (Q4 2025) and $263.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.18 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 146.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.11 Mn |
| Mar 31, 2026 | 226.13 Mn |
| Dec 31, 2025 | 328.75 Mn |
| Sep 30, 2025 | 263.56 Mn |
| Jun 30, 2025 | 230.59 Mn |
| Mar 31, 2025 | 205.87 Mn |
| Dec 31, 2024 | 266.23 Mn |
| Sep 30, 2024 | 214.95 Mn |
| Jun 30, 2024 | 202.71 Mn |
| Mar 31, 2024 | 207.52 Mn |
| Dec 31, 2023 | 270.74 Mn |
| Sep 30, 2023 | 182.31 Mn |
| Jun 30, 2023 | 153.29 Mn |
| Mar 31, 2023 | 181.60 Mn |
| Dec 31, 2022 | 225.46 Mn |
| Sep 30, 2022 | 197.06 Mn |
| Jun 30, 2022 | 213.77 Mn |
| Mar 31, 2022 | 216.32 Mn |
| Dec 31, 2021 | 263.71 Mn |
| Sep 30, 2021 | 246.45 Mn |
Manhattan Associates Cash & Equivalents 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=cash-and-equivalents&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();