Merit Medical Systems (MMSI) Tax Provisions (2010 - 2026)
Merit Medical Systems (MMSI) recorded Tax Provisions of $13.5 million in Q3 2026, up 25.0% from $10.8 million a year earlier and up 7.9% 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 $51.66 million as of Sep 30, 2026, up 49.3% 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.
- The Q3 2026 figure is the highest quarterly Tax Provisions in data going back to Q2 2010.
- On a year-over-year basis, Tax Provisions has increased for 11 consecutive quarters, with growth averaging 44.3% 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 $12.51 million (Q2 2026), $12.6 million (Q1 2026) and $13.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 352.00 Mn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 311.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | -75.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 144.00 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 244.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 153.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 61.80 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Merit Medical Systems | 5.24 Bn | 3.36 Bn | 200.63 Mn | 13.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.50 Mn |
| 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 |
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();