Teleflex (TFX) Depreciation and Depletion (2009 - 2026)
Teleflex (TFX) recorded Depreciation and Depletion of $15.77 million in Q2 2026, up 33.6% from $11.8 million a year earlier but down 20.6% from the prior quarter.
Teleflex (TFX) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a TTM basis, Teleflex's Depreciation and Depletion came in at $66.86 million as of Jun 30, 2026, up 55.1% year-over-year; for FY2025, it was $56.08 million, up 6.3% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $52.75 million in FY2024 (+16.0%), $45.49 million in FY2023 (-31.6%), $66.5 million in FY2022 (-7.3%) and $71.76 million in FY2021 (+4.7%).
- Quarterly Depreciation and Depletion has ranged from -$7.2 million in Q4 2023 to $33.9 million in Q3 2025 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in four of the last six quarters, with growth averaging 20.9%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 66.7% in Q3 2025, against a decline of 36.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.85 million (Q1 2026), -$2.66 million (Q4 2025) and $33.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 247.86 Bn | 226.89 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 177.43 Bn | 147.86 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 159.54 Bn | 143.35 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 157.40 Bn | 137.68 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.54 Bn | 87.79 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 117.68 Bn | 103.80 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 66.64 Bn | 61.41 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.48 Bn | 35.49 Bn | 1.35 Bn | - |
| 10 | Teleflex | 5.88 Bn | 4.54 Bn | 331.71 Mn | 15.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.77 Mn |
| Mar 31, 2026 | 19.85 Mn |
| Dec 31, 2025 | -2.66 Mn |
| Sep 28, 2025 | 33.90 Mn |
| Jun 29, 2025 | 11.80 Mn |
| Mar 30, 2025 | 13.04 Mn |
| Dec 31, 2024 | -2.07 Mn |
| Sep 29, 2024 | 20.34 Mn |
| Jun 30, 2024 | 18.56 Mn |
| Mar 31, 2024 | 15.93 Mn |
| Dec 31, 2023 | -7.20 Mn |
| Oct 1, 2023 | 15.96 Mn |
| Jul 2, 2023 | 18.44 Mn |
| Apr 2, 2023 | 18.29 Mn |
| Dec 31, 2022 | 17.43 Mn |
| Sep 25, 2022 | 15.58 Mn |
| Jun 26, 2022 | 16.18 Mn |
| Mar 27, 2022 | 17.32 Mn |
| Dec 31, 2021 | 17.91 Mn |
| Sep 26, 2021 | 17.86 Mn |
Teleflex Depreciation and Depletion 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-depletion&ticker=TFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TFX", "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-depletion&ticker=TFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();