Manhattan Associates (MANH) Non-Current Assets (2010 - 2026)
Manhattan Associates (MANH) posted Non-Current Assets of $231.59 million for Q2 2026, down 11.4% from $261.34 million a year earlier but up 3.1% from the prior quarter.
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Analysis
Manhattan Associates (MANH) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Manhattan Associates' Non-Current Assets came in at $256.05 million, up 0.7% from FY2024.
- Annual Non-Current Assets has increased for four consecutive years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- In prior years, Manhattan Associates' Non-Current Assets was $254.29 million in FY2024 (+31.0%), $194.16 million in FY2023 (+25.4%), $154.8 million in FY2022 (+17.9%) and $131.29 million in FY2021 (-0.1%).
- Quarterly Non-Current Assets has run from a low of $128.62 million in Q3 2021 to a high of $261.34 million in Q2 2025 over five years.
- On a year-over-year basis, Non-Current Assets increased in five of the last eight quarters, with growth averaging 8.0%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2024, with growth of 44.1%; the weakest was Q2 2026, with a decline of 11.4%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $224.72 million (Q1 2026), $256.05 million (Q4 2025) and $243.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 3.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.59 Mn |
| Mar 31, 2026 | 224.72 Mn |
| Dec 31, 2025 | 256.05 Mn |
| Sep 30, 2025 | 243.05 Mn |
| Jun 30, 2025 | 261.34 Mn |
| Mar 31, 2025 | 252.89 Mn |
| Dec 31, 2024 | 254.29 Mn |
| Sep 30, 2024 | 245.83 Mn |
| Jun 30, 2024 | 239.17 Mn |
| Mar 31, 2024 | 229.56 Mn |
| Dec 31, 2023 | 194.16 Mn |
| Sep 30, 2023 | 180.14 Mn |
| Jun 30, 2023 | 166.98 Mn |
| Mar 31, 2023 | 159.34 Mn |
| Dec 31, 2022 | 154.80 Mn |
| Sep 30, 2022 | 148.02 Mn |
| Jun 30, 2022 | 139.74 Mn |
| Mar 31, 2022 | 134.48 Mn |
| Dec 31, 2021 | 131.29 Mn |
| Sep 30, 2021 | 128.62 Mn |
API Access
Manhattan Associates Non-Current 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=non-current-assets&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();