Manhattan Associates (MANH) Selling, General & Administrative (2010 - 2026)
Manhattan Associates' Selling, General & Administrative came in at $26.74 million for Q2 2026, up 2.9% from $25.98 million a year earlier and up 12.8% from the prior quarter.
Manhattan Associates (MANH) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Manhattan Associates reported Selling, General & Administrative of $94.01 million, down 3.8% year-over-year; for FY2025, it was $93.76 million, up 4.4% from FY2024.
- Selling, General & Administrative has increased in each of the last five years, with a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $89.81 million in FY2024 (+10.6%), $81.17 million in FY2023 (+11.1%), $73.07 million in FY2022 (+7.3%) and $68.09 million in FY2021 (+10.8%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2024.
- Year-over-year, Selling, General & Administrative increased in five of the last eight quarters, with growth averaging 7.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2024 (growth of 38.6%), and the weakest in Q4 2025 (a decline of 28.3%).
- Business Quant data shows MANH's Selling, General & Administrative at $23.71 million (Q1 2026), $19.49 million (Q4 2025) and $24.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 50.59 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 65.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.74 Mn |
| Mar 31, 2026 | 23.71 Mn |
| Dec 31, 2025 | 19.49 Mn |
| Sep 30, 2025 | 24.08 Mn |
| Jun 30, 2025 | 25.98 Mn |
| Mar 31, 2025 | 24.22 Mn |
| Dec 31, 2024 | 27.19 Mn |
| Sep 30, 2024 | 20.31 Mn |
| Jun 30, 2024 | 21.11 Mn |
| Mar 31, 2024 | 21.20 Mn |
| Dec 31, 2023 | 19.61 Mn |
| Sep 30, 2023 | 21.37 Mn |
| Jun 30, 2023 | 20.24 Mn |
| Mar 31, 2023 | 19.95 Mn |
| Dec 31, 2022 | 18.11 Mn |
| Sep 30, 2022 | 18.39 Mn |
| Jun 30, 2022 | 18.61 Mn |
| Mar 31, 2022 | 17.97 Mn |
| Dec 31, 2021 | 17.51 Mn |
| Sep 30, 2021 | 15.93 Mn |
Manhattan Associates Selling, General & Administrative 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=selling-general-and-administrative&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();