Merit Medical Systems (MMSI) Change in Accrued Expenses (2009 - 2026)
Merit Medical Systems' Change in Accrued Expenses came in at $757,000 for Q3 2026, down 90.0% from $7.59 million a year earlier and down 97.3% from the prior quarter.
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Analysis
Merit Medical Systems (MMSI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Merit Medical Systems reported Change in Accrued Expenses of $5.3 million, down 65.1% year-over-year; for FY2025, it was $14.26 million, up 46.8% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 25.4% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $9.72 million in FY2024, -$2.48 million in FY2023, -$16.38 million in FY2022 and $36.46 million in FY2021 (+692.1%).
- The five-year range for quarterly Change in Accrued Expenses is -$33.27 million (Q1 2026) to $28.4 million (Q2 2026).
- Year-over-year, Change in Accrued Expenses increased in three of the last five quarters, with growth averaging 80.2%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2025 (growth of 246.5%), and the weakest in Q3 2026 (a decline of 90.0%).
- Business Quant data shows MMSI's Change in Accrued Expenses at $28.4 million (Q2 2026), -$33.27 million (Q1 2026) and $9.41 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Merit Medical Systems | 5.26 Bn | 3.37 Bn | 200.63 Mn | 757,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 757,000.00 |
| Jun 30, 2026 | 28.40 Mn |
| Mar 31, 2026 | -33.27 Mn |
| Dec 31, 2025 | 9.41 Mn |
| Sep 30, 2025 | 7.59 Mn |
| Jun 30, 2025 | 18.01 Mn |
| Mar 31, 2025 | -20.75 Mn |
| Dec 31, 2024 | 10.33 Mn |
| Sep 30, 2024 | 2.19 Mn |
| Jun 30, 2024 | 6.09 Mn |
| Mar 31, 2024 | -8.89 Mn |
| Dec 31, 2023 | -1.89 Mn |
| Sep 30, 2023 | 9.70 Mn |
| Jun 30, 2023 | -6.72 Mn |
| Mar 31, 2023 | -3.57 Mn |
| Dec 31, 2022 | -7.52 Mn |
| Sep 30, 2022 | 12.11 Mn |
| Jun 30, 2022 | 2.54 Mn |
| Mar 31, 2022 | -23.51 Mn |
| Dec 31, 2021 | 16.89 Mn |
API Access
Merit Medical Systems Change in Accrued Expenses 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=change-in-accured-expenses&ticker=MMSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MMSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();