Manhattan Associates (MANH) Other Operating Expenses (2010 - 2026)
Manhattan Associates (MANH) reported Other Operating Expenses of $194.93 million for Q2 2026, up 13.9% from $171.07 million a year earlier and up 1.7% from the prior quarter.
Manhattan Associates (MANH) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Manhattan Associates' Other Operating Expenses came in at $743.25 million, up 9.6% year-over-year; for FY2025, it came in at $698.58 million, up 2.0% from FY2024.
- Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $684.65 million in FY2024 (+8.4%), $631.87 million in FY2023 (+18.2%), $534.61 million in FY2022 (+17.9%) and $453.31 million in FY2021 (+12.8%).
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses in data going back to Q1 2010.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 5.5% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2022 (growth of 29.7%); the low point was Q2 2025 (a decline of 2.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $191.74 million (Q1 2026), $182.36 million (Q4 2025) and $174.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 50.41 Bn | 22.66 Bn | 695.95 Mn |
| 3 | Samsara | 24.16 Bn | 20.93 Bn | 392.58 Mn |
| 4 | Ptc | 22.37 Bn | 21.19 Bn | 490.47 Mn |
| 5 | Toast | 20.07 Bn | 12.74 Bn | 516.00 Mn |
| 6 | Manhattan Associates | 15.11 Bn | 14.17 Bn | 174.30 Mn |
| 7 | Bentley Systems | 14.25 Bn | 13.71 Bn | 336.74 Mn |
| 8 | Costar | 12.60 Bn | 7.98 Bn | 741.00 Mn |
| 9 | Trimble | 12.39 Bn | 11.46 Bn | 674.90 Mn |
| 10 | Procore Technologies | 11.65 Bn | 8.95 Bn | 299.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 160.39 Mn |
| Jun 30, 2026 | 161.79 Mn |
| Mar 31, 2026 | 156.23 Mn |
| Dec 31, 2025 | 145.36 Mn |
| Sep 30, 2025 | 139.53 Mn |
| Jun 30, 2025 | 137.78 Mn |
| Mar 31, 2025 | 137.17 Mn |
| Dec 31, 2024 | 134.93 Mn |
| Sep 30, 2024 | 136.93 Mn |
| Jun 30, 2024 | 140.68 Mn |
| Mar 31, 2024 | 140.71 Mn |
| Dec 31, 2023 | 128.45 Mn |
| Sep 30, 2023 | 130.53 Mn |
| Jun 30, 2023 | 128.70 Mn |
| Mar 31, 2023 | 123.18 Mn |
| Dec 31, 2022 | 108.17 Mn |
| Sep 30, 2022 | 113.56 Mn |
| Jun 30, 2022 | 108.14 Mn |
| Mar 31, 2022 | 99.56 Mn |
| Dec 31, 2021 | 100.06 Mn |
Manhattan Associates Other 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=other-operating-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();