Embecta (EMBC) Tax Provisions (2020 - 2026)
Embecta's (EMBC) quarterly Tax Provisions came in at $6.5 million in Q2 2026, down 75.66% year-over-year from $26.7 million in Q2 2025, and down 52.21% quarter-over-quarter from $13.6 million in Q1 2026.
Embecta (EMBC) Tax Provisions (2020 - 2026) Analysis & Trends
Embecta has disclosed Tax Provisions across 7 years of filings, most recently posting $6.5 million for Q2 2026.
- In Q2 2026, Tax Provisions fell 75.66% year-over-year to $6.5 million; the TTM figure through Jun 2026 stood at $37.5 million (up 124.55% YoY), while the FY2025 annual figure was $40.9 million, up 219.94% from the prior year.
- Tax Provisions came in at $6.5 million for Q2 2026 at Embecta, down from $13.6 million in the prior quarter.
- In the past five years, Tax Provisions ranged from a high of $26.7 million in Q2 2025 to a low of -$21.6 million in Q3 2024.
- Average Tax Provisions over 5 years is $5.1 million, with a median of $8.5 million recorded in 2023.
- Year-over-year, Tax Provisions plunged 2060.0% in 2024 and surged 2214.29% in 2025.
- Over 5 years, Tax Provisions stood at $20.9 million in 2022, then sank by 127.75% to -$5.8 million in 2023, then soared by 87.93% to -$700000.0 in 2024, then surged by 2214.29% to $14.8 million in 2025, then sank by 56.08% to $6.5 million in 2026.
- Per Business Quant data, the three most recent Tax Provisions figures were $6.5 million in Q2 2026, $13.6 million in Q1 2026, and $14.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 178.18 Bn | 173.23 Bn | 7.27 Bn | 596.00 Mn |
| 2 | Intuitive Surgical | 142.14 Bn | 137.06 Bn | 1.96 Bn | 231.40 Mn |
| 3 | Medtronic | 117.43 Bn | 109.23 Bn | 6.34 Bn | 289.00 Mn |
| 4 | Stryker | 105.15 Bn | 101.68 Bn | 4.50 Bn | 288.00 Mn |
| 5 | Boston Scientific | 63.37 Bn | 63.08 Bn | 3.85 Bn | 155.00 Mn |
| 6 | Edwards Lifesciences | 50.93 Bn | 46.79 Bn | 1.35 Bn | 278.40 Mn |
| 7 | Dexcom | 33.65 Bn | 31.71 Bn | 830.00 Mn | 68.40 Mn |
| 8 | Resmed | 32.27 Bn | 30.80 Bn | 861.22 Mn | 90.73 Mn |
| 9 | Alcon | 31.62 Bn | 30.17 Bn | 1.68 Bn | 46.00 Mn |
| 10 | Embecta | 300.30 Mn | 82.10 Mn | 153.30 Mn | 6.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.50 Mn |
| Mar 31, 2026 | 13.60 Mn |
| Dec 31, 2025 | 14.80 Mn |
| Sep 30, 2025 | 2.60 Mn |
| Jun 30, 2025 | 26.70 Mn |
| Mar 31, 2025 | 12.30 Mn |
| Dec 31, 2024 | -700,000.00 |
| Sep 30, 2024 | -21.60 Mn |
| Jun 30, 2024 | 12.30 Mn |
| Mar 31, 2024 | -19.00 Mn |
| Dec 31, 2023 | -5.80 Mn |
| Sep 30, 2023 | -1.00 Mn |
| Jun 30, 2023 | 4.90 Mn |
| Mar 31, 2023 | 10.50 Mn |
| Dec 31, 2022 | 20.90 Mn |
| Sep 30, 2022 | -10.30 Mn |
| Jun 30, 2022 | 11.20 Mn |
| Mar 31, 2022 | 14.30 Mn |
| Dec 31, 2021 | 17.80 Mn |
| Sep 30, 2021 | 19.50 Mn |
Embecta Tax Provisions 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=tax-provisions&ticker=EMBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "EMBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=EMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();