Manhattan Associates (MANH) Accumulated Expenses (2010 - 2026)
Manhattan Associates (MANH) posted Accumulated Expenses of $29.98 million for Q2 2026, up 36.3% from $22 million a year earlier but down 1.9% from the prior quarter.
Powered by 
Analysis
Manhattan Associates (MANH) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Manhattan Associates' Accumulated Expenses came in at $26.57 million, up 19.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, Manhattan Associates' Accumulated Expenses was $22.28 million in FY2024 (-18.6%), $27.37 million in FY2023 (+11.4%), $24.57 million in FY2022 (+8.0%) and $22.74 million in FY2021 (+7.4%).
- Quarterly Accumulated Expenses has run from a low of $20.59 million in Q3 2021 to a high of $30.57 million in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2026, with growth of 36.3%; the weakest was Q4 2024, with a decline of 18.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $30.57 million (Q1 2026), $26.57 million (Q4 2025) and $23.59 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 | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.98 Mn |
| Mar 31, 2026 | 30.57 Mn |
| Dec 31, 2025 | 26.57 Mn |
| Sep 30, 2025 | 23.59 Mn |
| Jun 30, 2025 | 22.00 Mn |
| Mar 31, 2025 | 25.98 Mn |
| Dec 31, 2024 | 22.28 Mn |
| Sep 30, 2024 | 23.23 Mn |
| Jun 30, 2024 | 23.17 Mn |
| Mar 31, 2024 | 24.92 Mn |
| Dec 31, 2023 | 27.37 Mn |
| Sep 30, 2023 | 26.43 Mn |
| Jun 30, 2023 | 25.34 Mn |
| Mar 31, 2023 | 24.45 Mn |
| Dec 31, 2022 | 24.57 Mn |
| Dec 31, 2021 | 22.74 Mn |
| Sep 30, 2021 | 20.59 Mn |
| Jun 30, 2021 | 18.92 Mn |
| Mar 31, 2021 | 20.40 Mn |
| Dec 31, 2020 | 21.18 Mn |
API Access
Manhattan Associates Accumulated 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=accumulated-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();