Manhattan Associates (MANH) EV to EBITDA (2010 - 2026)
Manhattan Associates' EV to EBITDA was 28.26 in Q2 2026, down 32.6% from 41.94 a year earlier but up 6.5% from the prior quarter.
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Analysis
Manhattan Associates (MANH) EV to EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Manhattan Associates' EV to EBITDA was 25.35 through Jun 30, 2026, down 35.8% year-over-year; for FY2025, it was 35.10, down 41.9% from FY2024.
- In earlier years, EV to EBITDA was 60.46 in FY2024 (+0.4%), 60.21 in FY2023 (+31.0%), 45.95 in FY2022 (-31.6%) and 67.18 in FY2021 (+27.6%).
- Quarterly EV to EBITDA has moved between 26.55 (Q1 2026) and 67.18 (Q1 2024) over five years.
- Compared with a year earlier, EV to EBITDA has declined for six straight quarters, with an average decline of 25.5% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2023 (growth of 39.6%); the worst was Q1 2025 (a decline of 43.9%).
- Per Business Quant data, MANH's EV to EBITDA in the three quarters before Q2 2026 was 26.55 (Q1 2026), 35.10 (Q4 2025) and 43.19 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.39 Bn | 8.85 Bn | 336.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.26 |
| Mar 31, 2026 | 26.55 |
| Dec 31, 2025 | 35.10 |
| Sep 30, 2025 | 43.19 |
| Jun 30, 2025 | 41.94 |
| Mar 31, 2025 | 37.66 |
| Dec 31, 2024 | 60.46 |
| Sep 30, 2024 | 63.80 |
| Jun 30, 2024 | 61.06 |
| Mar 31, 2024 | 67.18 |
| Dec 31, 2023 | 60.21 |
| Sep 30, 2023 | 59.48 |
| Jun 30, 2023 | 65.78 |
| Mar 31, 2023 | 54.71 |
| Dec 31, 2022 | 45.95 |
| Sep 30, 2022 | 57.04 |
| Jun 30, 2022 | 47.13 |
| Mar 31, 2022 | 56.77 |
| Dec 31, 2021 | 67.18 |
| Sep 30, 2021 | 65.69 |
API Access
Manhattan Associates EV to 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=ev-to-ebitda&ticker=MANH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();