Manhattan Associates (MANH) EBIT (2010 - 2026)
Manhattan Associates (MANH) reported EBIT of $66.23 million for Q2 2026, down 10.2% from $73.79 million a year earlier but up 2.0% from the prior quarter.
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Analysis
Manhattan Associates (MANH) EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Manhattan Associates' EBIT came in at $274.01 million, up 0.5% year-over-year; for FY2025, it was $279.8 million, up 7.0% from FY2024.
- EBIT has increased for five consecutive years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- By year, EBIT came in at $261.6 million in FY2024 (+24.6%), $209.88 million in FY2023 (+37.4%), $152.7 million in FY2022 (+13.7%) and $134.33 million in FY2021 (+17.8%).
- Five-year quarterly EBIT spans a low of $27.14 million in Q4 2021 and a high of $75.83 million in Q3 2025.
- Year over year, EBIT gained in seven of the last eight quarters, with growth averaging 8.2%.
- The high point for year-over-year EBIT in five years was Q4 2022 (growth of 64.7%); the low point was Q3 2022 (a decline of 13.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.94 million (Q1 2026), $67.01 million (Q4 2025) and $75.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 76.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 88.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.23 Mn |
| Mar 31, 2026 | 64.94 Mn |
| Dec 31, 2025 | 67.01 Mn |
| Sep 30, 2025 | 75.83 Mn |
| Jun 30, 2025 | 73.79 Mn |
| Mar 31, 2025 | 63.17 Mn |
| Dec 31, 2024 | 60.69 Mn |
| Sep 30, 2024 | 75.09 Mn |
| Jun 30, 2024 | 68.19 Mn |
| Mar 31, 2024 | 57.63 Mn |
| Dec 31, 2023 | 58.87 Mn |
| Sep 30, 2023 | 53.45 Mn |
| Jun 30, 2023 | 50.48 Mn |
| Mar 31, 2023 | 47.09 Mn |
| Dec 31, 2022 | 44.71 Mn |
| Sep 30, 2022 | 36.77 Mn |
| Jun 30, 2022 | 37.25 Mn |
| Mar 31, 2022 | 33.97 Mn |
| Dec 31, 2021 | 27.14 Mn |
| Sep 30, 2021 | 42.41 Mn |
API Access
Manhattan Associates EBIT 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=ebit&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();