Manhattan Associates (MANH) Other Non-Current Liabilities (2010 - 2026)
Manhattan Associates' Other Non-Current Liabilities was $12.2 million in Q2 2026, up 19.9% from $10.18 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Manhattan Associates (MANH) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Manhattan Associates came in at $12.53 million, up 21.3% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -10.4% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $10.33 million in FY2024 (-9.9%), $11.47 million in FY2023 (-16.4%), $13.72 million in FY2022 (-18.7%) and $16.87 million in FY2021 (-22.2%).
- Quarterly Other Non-Current Liabilities has moved between $7.92 million (Q3 2024) and $18.91 million (Q3 2021) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for four straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2025 (growth of 45.1%); the worst was Q3 2024 (a decline of 42.7%).
- Per Business Quant data, MANH's Other Non-Current Liabilities in the three quarters before Q2 2026 was $12.28 million (Q1 2026), $12.53 million (Q4 2025) and $11.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.20 Mn |
| Mar 31, 2026 | 12.28 Mn |
| Dec 31, 2025 | 12.53 Mn |
| Sep 30, 2025 | 11.49 Mn |
| Jun 30, 2025 | 10.18 Mn |
| Mar 31, 2025 | 11.11 Mn |
| Dec 31, 2024 | 10.33 Mn |
| Sep 30, 2024 | 7.92 Mn |
| Jun 30, 2024 | 11.13 Mn |
| Mar 31, 2024 | 11.32 Mn |
| Dec 31, 2023 | 11.47 Mn |
| Sep 30, 2023 | 13.83 Mn |
| Jun 30, 2023 | 13.38 Mn |
| Mar 31, 2023 | 13.97 Mn |
| Dec 31, 2022 | 13.72 Mn |
| Sep 30, 2022 | 15.43 Mn |
| Jun 30, 2022 | 15.39 Mn |
| Mar 31, 2022 | 16.32 Mn |
| Dec 31, 2021 | 16.87 Mn |
| Sep 30, 2021 | 18.91 Mn |
API Access
Manhattan Associates Other 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=other-non-current-liabilities&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();