Manhattan Associates (MANH) Assets (2010 - 2026)
Manhattan Associates (MANH) posted Assets of $698.65 million for Q2 2026, down 6.2% from $744.68 million a year earlier and down 5.7% from the prior quarter.
Manhattan Associates (MANH) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Manhattan Associates' Assets came in at $839.39 million, up 10.8% from FY2024.
- Annual Assets has increased for seven consecutive years, with a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- In prior years, Manhattan Associates' Assets was $757.55 million in FY2024 (+12.5%), $673.35 million in FY2023 (+18.1%), $570.18 million in FY2022 (+5.6%) and $539.71 million in FY2021 (+16.0%).
- The Q2 2026 figure stands as the lowest quarterly Assets since Q3 2024.
- On a year-over-year basis, Assets increased in seven of the last eight quarters, with growth averaging 8.8%.
- The strongest year-over-year quarter for Assets in the past five years was Q1 2024, with growth of 27.1%; the weakest was Q2 2026, with a decline of 6.2%.
- According to Business Quant data, Assets for the three prior quarters was $740.54 million (Q1 2026), $839.39 million (Q4 2025) and $768.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 9.06 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.77 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 3.18 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 6.51 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.54 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 2.07 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 698.65 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 10.14 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 3.58 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 698.65 Mn |
| Mar 31, 2026 | 740.54 Mn |
| Dec 31, 2025 | 839.39 Mn |
| Sep 30, 2025 | 768.82 Mn |
| Jun 30, 2025 | 744.68 Mn |
| Mar 31, 2025 | 708.22 Mn |
| Dec 31, 2024 | 757.55 Mn |
| Sep 30, 2024 | 698.14 Mn |
| Jun 30, 2024 | 665.31 Mn |
| Mar 31, 2024 | 674.76 Mn |
| Dec 31, 2023 | 673.35 Mn |
| Sep 30, 2023 | 573.00 Mn |
| Jun 30, 2023 | 526.99 Mn |
| Mar 31, 2023 | 530.84 Mn |
| Dec 31, 2022 | 570.18 Mn |
| Sep 30, 2022 | 514.72 Mn |
| Jun 30, 2022 | 514.29 Mn |
| Mar 31, 2022 | 511.75 Mn |
| Dec 31, 2021 | 539.71 Mn |
| Sep 30, 2021 | 514.28 Mn |
Manhattan Associates Assets 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=assets&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();