Manhattan Associates (MANH) Change in Accrued Expenses (2010 - 2026)
Manhattan Associates (MANH) reported Change in Accrued Expenses of -$580,000 for Q3 2026, compared with -$1.99 million a year earlier.
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Analysis
Manhattan Associates (MANH) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Manhattan Associates' Change in Accrued Expenses came in at $34.3 million; for FY2025, it came in at -$229,000.
- By year, Change in Accrued Expenses came in at $1.25 million in FY2024 (-93.1%), $18.12 million in FY2023 (+53.7%), $11.79 million in FY2022 (-3.8%) and $12.26 million in FY2021.
- Five-year quarterly Change in Accrued Expenses spans a low of -$20.81 million in Q1 2024 and a high of $21.33 million in Q3 2022.
- Year over year, Change in Accrued Expenses gained in three of the last four quarters, with growth averaging 253.3%.
- The high point for year-over-year Change in Accrued Expenses in five years was Q2 2026 (growth of 788.4%); the low point was Q3 2024 (a decline of 70.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $20.69 million (Q2 2026), -$4.04 million (Q1 2026) and $18.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 133.18 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | -20.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | -580,000.00 |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | -12.99 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | -24.50 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | -36.00 Mn |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | 26.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -580,000.00 |
| Jun 30, 2026 | 20.69 Mn |
| Mar 31, 2026 | -4.04 Mn |
| Dec 31, 2025 | 18.23 Mn |
| Sep 30, 2025 | -1.99 Mn |
| Jun 30, 2025 | 2.33 Mn |
| Mar 31, 2025 | -18.81 Mn |
| Dec 31, 2024 | 14.62 Mn |
| Sep 30, 2024 | 4.72 Mn |
| Jun 30, 2024 | 2.73 Mn |
| Mar 31, 2024 | -20.81 Mn |
| Dec 31, 2023 | 4.65 Mn |
| Sep 30, 2023 | 16.07 Mn |
| Jun 30, 2023 | 7.42 Mn |
| Mar 31, 2023 | -10.01 Mn |
| Dec 31, 2022 | -8.95 Mn |
| Sep 30, 2022 | 21.33 Mn |
| Jun 30, 2022 | 5.59 Mn |
| Mar 31, 2022 | -6.18 Mn |
| Dec 31, 2021 | -1.17 Mn |
API Access
Manhattan Associates Change in Accrued Expenses 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=change-in-accured-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();