Manhattan Associates (MANH) Operating Expenses (2010 - 2026)
Manhattan Associates (MANH) recorded Operating Expenses of $231.56 million in Q2 2026, up 16.6% from $198.63 million a year earlier and up 6.6% from the prior quarter.
Powered by 
Analysis
Manhattan Associates (MANH) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Manhattan Associates' Operating Expenses came in at $852.19 million as of Jun 30, 2026, up 8.6% year-over-year; for FY2025, it came in at $801.59 million, up 2.7% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $780.76 million in FY2024 (+8.6%), $718.84 million in FY2023 (+17.0%), $614.38 million in FY2022 (+16.1%) and $529.31 million in FY2021 (+12.1%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2010.
- On a year-over-year basis, Operating Expenses has increased for 22 consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.8% (Q2 2025) and 27.3% (Q3 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $217.28 million (Q1 2026), $203.38 million (Q4 2025) and $199.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 248.13 Mn |
| 10 | Procore Technologies | 9.19 Bn | 6.49 Bn | 299.80 Mn | 295.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.56 Mn |
| Mar 31, 2026 | 217.28 Mn |
| Dec 31, 2025 | 203.38 Mn |
| Sep 30, 2025 | 199.97 Mn |
| Jun 30, 2025 | 198.63 Mn |
| Mar 31, 2025 | 199.62 Mn |
| Dec 31, 2024 | 195.11 Mn |
| Sep 30, 2024 | 191.59 Mn |
| Jun 30, 2024 | 197.13 Mn |
| Mar 31, 2024 | 196.92 Mn |
| Dec 31, 2023 | 179.39 Mn |
| Sep 30, 2023 | 184.99 Mn |
| Jun 30, 2023 | 180.53 Mn |
| Mar 31, 2023 | 173.93 Mn |
| Dec 31, 2022 | 153.40 Mn |
| Sep 30, 2022 | 161.33 Mn |
| Jun 30, 2022 | 154.67 Mn |
| Mar 31, 2022 | 144.98 Mn |
| Dec 31, 2021 | 144.35 Mn |
| Sep 30, 2021 | 126.78 Mn |
API Access
Manhattan Associates Operating 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=operating-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();