Manhattan Associates (MANH) Total Non-Current Liabilities (2010 - 2026)
Manhattan Associates (MANH) reported Total Non-Current Liabilities of $528.94 million for Q2 2026, up 16.1% from $455.75 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Manhattan Associates (MANH) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Manhattan Associates posted Total Non-Current Liabilities of $512.09 million, up 14.3% from FY2024.
- Total Non-Current Liabilities has increased for nine consecutive years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $448.1 million in FY2024 (+16.8%), $383.61 million in FY2023 (+16.4%), $329.66 million in FY2022 (+21.1%) and $272.2 million in FY2021 (+21.1%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 23 quarters, with growth averaging 13.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 6.6% (Q1 2025) to 26.2% (Q1 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at $523.09 million (Q1 2026), $512.09 million (Q4 2025) and $448.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 528.94 Mn |
| Mar 31, 2026 | 523.09 Mn |
| Dec 31, 2025 | 512.09 Mn |
| Sep 30, 2025 | 448.12 Mn |
| Jun 30, 2025 | 455.75 Mn |
| Mar 31, 2025 | 452.02 Mn |
| Dec 31, 2024 | 448.10 Mn |
| Sep 30, 2024 | 412.27 Mn |
| Jun 30, 2024 | 413.55 Mn |
| Mar 31, 2024 | 423.83 Mn |
| Dec 31, 2023 | 383.61 Mn |
| Sep 30, 2023 | 349.06 Mn |
| Jun 30, 2023 | 343.07 Mn |
| Mar 31, 2023 | 335.80 Mn |
| Dec 31, 2022 | 329.66 Mn |
| Sep 30, 2022 | 301.16 Mn |
| Jun 30, 2022 | 290.16 Mn |
| Mar 31, 2022 | 278.30 Mn |
| Dec 31, 2021 | 272.20 Mn |
| Sep 30, 2021 | 256.74 Mn |
API Access
Manhattan Associates Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();