LivaNova (LIVN) Depreciation & Amortization (CF) (2015 - 2026)
LivaNova (LIVN) recorded Depreciation & Amortization (CF) of $8.75 million in Q2 2026, up 27.3% from $6.87 million a year earlier and up 5.4% from the prior quarter.
LivaNova (LIVN) Depreciation & Amortization (CF) (2015 - 2026) Analysis & Trends
On a TTM basis, LivaNova's Depreciation & Amortization (CF) came in at $32.32 million as of Jun 30, 2026, up 47.7% year-over-year; for FY2025, it was $28.56 million, up 65.9% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $17.21 million in FY2024 (-32.4%), $25.47 million in FY2023 (+1.1%), $25.2 million in FY2022 (-5.0%) and $26.52 million in FY2021 (-30.8%).
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) since Q4 2020.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for six consecutive quarters, with growth averaging 32.0% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 77.7% in Q4 2025, against a decline of 33.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.3 million (Q1 2026), $7.56 million (Q4 2025) and $7.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 42.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 564.00 Mn |
| 10 | LivaNova | 4.13 Bn | 1.79 Bn | 273.67 Mn | 8.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.75 Mn |
| Mar 31, 2026 | 8.30 Mn |
| Dec 31, 2025 | 7.56 Mn |
| Sep 30, 2025 | 7.72 Mn |
| Jun 30, 2025 | 6.87 Mn |
| Mar 31, 2025 | 6.42 Mn |
| Dec 31, 2024 | 4.25 Mn |
| Sep 30, 2024 | 4.35 Mn |
| Jun 30, 2024 | 4.29 Mn |
| Mar 31, 2024 | 4.33 Mn |
| Dec 31, 2023 | 6.34 Mn |
| Sep 30, 2023 | 6.38 Mn |
| Jun 30, 2023 | 6.39 Mn |
| Mar 31, 2023 | 6.36 Mn |
| Dec 31, 2022 | 6.23 Mn |
| Sep 30, 2022 | 6.05 Mn |
| Jun 30, 2022 | 6.45 Mn |
| Mar 31, 2022 | 6.47 Mn |
| Dec 31, 2021 | 6.51 Mn |
| Sep 30, 2021 | 6.65 Mn |
LivaNova 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=LIVN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "LIVN", "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=LIVN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();