Manhattan Associates (MANH) EBITDA (2010 - 2026)
Manhattan Associates' EBITDA was $67.86 million in Q2 2026, down 10.0% from $75.37 million a year earlier but up 1.6% from the prior quarter.
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Analysis
Manhattan Associates (MANH) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Manhattan Associates' EBITDA was $280.67 million through Jun 30, 2026, up 0.5% year-over-year; for FY2025, it was $286.12 million, up 6.8% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $267.9 million in FY2024 (+24.2%), $215.68 million in FY2023 (+35.3%), $159.4 million in FY2022 (+12.1%) and $142.25 million in FY2021 (+15.6%).
- Quarterly EBITDA has moved between $28.92 million (Q4 2021) and $77.49 million (Q3 2025) over five years.
- Compared with a year earlier, EBITDA was higher in seven of the last eight quarters, with growth averaging 8.1%.
- The best year-over-year quarter for EBITDA over five years was Q4 2022 (growth of 59.9%); the worst was Q3 2022 (a decline of 13.3%).
- Per Business Quant data, MANH's EBITDA in the three quarters before Q2 2026 was $66.77 million (Q1 2026), $68.54 million (Q4 2025) and $77.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.19 Bn | 22.44 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 23.08 Bn | 19.85 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Ptc | 22.13 Bn | 20.95 Bn | 490.47 Mn | 190.70 Mn |
| 5 | Toast | 18.36 Bn | 11.03 Bn | 516.00 Mn | 188.00 Mn |
| 6 | Trimble | 13.91 Bn | 12.97 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Manhattan Associates | 13.13 Bn | 12.13 Bn | 168.33 Mn | 67.86 Mn |
| 8 | Costar | 12.81 Bn | 6.76 Bn | 728.00 Mn | 191.00 Mn |
| 9 | Bentley Systems | 10.98 Bn | 10.44 Bn | 336.74 Mn | 105.71 Mn |
| 10 | Procore Technologies | 8.49 Bn | 5.79 Bn | 299.80 Mn | 35.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.86 Mn |
| Mar 31, 2026 | 66.77 Mn |
| Dec 31, 2025 | 68.54 Mn |
| Sep 30, 2025 | 77.49 Mn |
| Jun 30, 2025 | 75.37 Mn |
| Mar 31, 2025 | 64.71 Mn |
| Dec 31, 2024 | 62.32 Mn |
| Sep 30, 2024 | 76.78 Mn |
| Jun 30, 2024 | 69.68 Mn |
| Mar 31, 2024 | 59.12 Mn |
| Dec 31, 2023 | 60.42 Mn |
| Sep 30, 2023 | 54.89 Mn |
| Jun 30, 2023 | 51.80 Mn |
| Mar 31, 2023 | 48.57 Mn |
| Dec 31, 2022 | 46.25 Mn |
| Sep 30, 2022 | 38.43 Mn |
| Jun 30, 2022 | 39.00 Mn |
| Mar 31, 2022 | 35.72 Mn |
| Dec 31, 2021 | 28.92 Mn |
| Sep 30, 2021 | 44.33 Mn |
API Access
Manhattan Associates EBITDA 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=ebitda&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();