Manhattan Associates (MANH) Total Current Liabilities (2010 - 2026)
Manhattan Associates' Total Current Liabilities was $475.05 million in Q2 2026, up 16.7% from $407.17 million a year earlier and up 1.6% from the prior quarter.
Manhattan Associates (MANH) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Manhattan Associates came in at $455.91 million, up 13.9% from FY2024.
- Total Current Liabilities has now increased for nine consecutive years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $400.3 million in FY2024 (+9.4%), $365.92 million in FY2023 (+15.9%), $315.6 million in FY2022 (+26.7%) and $249.04 million in FY2021 (+26.4%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Current Liabilities has increased for 23 straight quarters, with growth averaging 12.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 8.8% (Q3 2024) to 26.7% (Q4 2022).
- Per Business Quant data, MANH's Total Current Liabilities in the three quarters before Q2 2026 was $467.4 million (Q1 2026), $455.91 million (Q4 2025) and $400.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 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 | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 988.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 475.05 Mn |
| Mar 31, 2026 | 467.40 Mn |
| Dec 31, 2025 | 455.91 Mn |
| Sep 30, 2025 | 400.41 Mn |
| Jun 30, 2025 | 407.17 Mn |
| Mar 31, 2025 | 405.02 Mn |
| Dec 31, 2024 | 400.30 Mn |
| Sep 30, 2024 | 362.24 Mn |
| Jun 30, 2024 | 362.71 Mn |
| Mar 31, 2024 | 372.02 Mn |
| Dec 31, 2023 | 365.92 Mn |
| Sep 30, 2023 | 332.83 Mn |
| Jun 30, 2023 | 330.61 Mn |
| Mar 31, 2023 | 322.75 Mn |
| Dec 31, 2022 | 315.60 Mn |
| Sep 30, 2022 | 283.97 Mn |
| Jun 30, 2022 | 271.23 Mn |
| Mar 31, 2022 | 257.05 Mn |
| Dec 31, 2021 | 249.04 Mn |
| Sep 30, 2021 | 232.86 Mn |
Manhattan Associates Total 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-current-liabilities&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();