Merit Medical Systems (MMSI) Tax Provisions (2010 - 2026)
Merit Medical Systems (MMSI) recorded Tax Provisions of $12.51 million in Q2 2026, up 15.8% from $10.8 million a year earlier but down 0.7% from the prior quarter.
Merit Medical Systems (MMSI) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Merit Medical Systems' Tax Provisions came in at $48.96 million as of Jun 30, 2026, up 52.9% year-over-year; for FY2025, it was $42.45 million, up 43.2% from FY2024.
- Annual Tax Provisions has increased for four straight years.
- Across earlier years, Tax Provisions came in at $29.64 million in FY2024 (+67.6%), $17.68 million in FY2023 (+117.9%), $8.11 million in FY2022 (+48.5%) and $5.46 million in FY2021.
- Quarterly Tax Provisions has ranged from -$3.29 million in Q4 2022 to $13.05 million in Q4 2025 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for ten consecutive quarters, with growth averaging 52.0% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 177.2% in Q2 2022, against a decline of 13.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.6 million (Q1 2026), $13.05 million (Q4 2025) and $10.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Merit Medical Systems | 5.15 Bn | 3.37 Bn | 215.17 Mn | 12.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.51 Mn |
| Mar 31, 2026 | 12.60 Mn |
| Dec 31, 2025 | 13.05 Mn |
| Sep 30, 2025 | 10.80 Mn |
| Jun 30, 2025 | 10.80 Mn |
| Mar 31, 2025 | 7.81 Mn |
| Dec 31, 2024 | 5.20 Mn |
| Sep 30, 2024 | 8.21 Mn |
| Jun 30, 2024 | 10.12 Mn |
| Mar 31, 2024 | 6.11 Mn |
| Dec 31, 2023 | 3.84 Mn |
| Sep 30, 2023 | 4.40 Mn |
| Jun 30, 2023 | 4.70 Mn |
| Mar 31, 2023 | 4.80 Mn |
| Dec 31, 2022 | -3.29 Mn |
| Sep 30, 2022 | 2.33 Mn |
| Jun 30, 2022 | 5.40 Mn |
| Mar 31, 2022 | 3.63 Mn |
| Dec 31, 2021 | -437,000.00 |
| Sep 30, 2021 | 2.21 Mn |
Merit Medical Systems 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=MMSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "MMSI", "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=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();