Manhattan Associates (MANH) Depreciation & Amortization (CF) (2010 - 2026)
Manhattan Associates (MANH) recorded Depreciation & Amortization (CF) of $1.72 million in Q3 2026, up 3.4% from $1.66 million a year earlier and up 5.2% from the prior quarter.
Manhattan Associates (MANH) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Manhattan Associates' Depreciation & Amortization (CF) came in at $6.71 million as of Sep 30, 2026, up 4.6% year-over-year; for FY2025, it was $6.32 million, up 0.3% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $6.3 million in FY2024 (+8.6%), $5.8 million in FY2023 (-13.4%), $6.7 million in FY2022 (-15.3%) and $7.91 million in FY2021 (-11.5%).
- Quarterly Depreciation & Amortization (CF) has ranged from $1.32 million in Q2 2023 to $1.83 million in Q1 2026 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for three consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 18.9% in Q1 2026, against a decline of 24.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.63 million (Q2 2026), $1.83 million (Q1 2026) and $1.53 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 10.87 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 8.41 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 24.19 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 12.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 1.72 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 14.21 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 50.70 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 98.00 Mn |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | 33.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.72 Mn |
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 1.83 Mn |
| Dec 31, 2025 | 1.53 Mn |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Mar 31, 2024 | 1.49 Mn |
| Dec 31, 2023 | 1.55 Mn |
| Sep 30, 2023 | 1.44 Mn |
| Jun 30, 2023 | 1.32 Mn |
| Mar 31, 2023 | 1.49 Mn |
| Dec 31, 2022 | 1.54 Mn |
| Sep 30, 2022 | 1.66 Mn |
| Jun 30, 2022 | 1.75 Mn |
| Mar 31, 2022 | 1.75 Mn |
| Dec 31, 2021 | 1.78 Mn |
Manhattan Associates Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MANH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MANH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();