Milestone Scientific (MLSS) Other Accumulated Expenses (2015 - 2026)
Milestone Scientific (MLSS) posted Other Accumulated Expenses of $803,492 for Q4 2022, up 103.0% from $395,857 a year earlier but down 11.8% from the prior quarter.
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Analysis
Milestone Scientific (MLSS) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
Since Q4 2011, Milestone Scientific has reported Other Accumulated Expenses for 31 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -4.0% (FY2017 to FY2022).
- In prior years, Milestone Scientific's Other Accumulated Expenses was $395,857 in FY2021 (+2.8%), $385,138 in FY2020 (-71.7%), $1.36 million in FY2019 (-24.9%) and $1.81 million in FY2018 (+83.6%).
- Quarterly Other Accumulated Expenses has run from a low of $184,360 in Q1 2021 to a high of $1.81 million in Q4 2018 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last six quarters, with growth averaging 107.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2022, with growth of 512.3%; the weakest was Q1 2021, with a decline of 86.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $910,999 (Q3 2022), $733,657 (Q2 2022) and $1.13 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Milestone Scientific | 27.18 Mn | 21.49 Mn | 1.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8,810.00 |
| Jun 30, 2026 | 907,680.00 |
| Mar 31, 2026 | 992,874.00 |
| Dec 31, 2025 | 1.36 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 505,455.00 |
| Mar 31, 2025 | 760,888.00 |
| Dec 31, 2024 | 493,313.00 |
| Sep 30, 2024 | 740,017.00 |
| Jun 30, 2024 | 814,829.00 |
| Mar 31, 2024 | 789,317.00 |
| Dec 31, 2023 | 410,512.00 |
| Sep 30, 2023 | 636,637.00 |
| Jun 30, 2023 | 626,690.00 |
| Mar 31, 2023 | 451,572.00 |
| Dec 31, 2022 | 803,492.00 |
| Sep 30, 2022 | 910,999.00 |
| Jun 30, 2022 | 733,657.00 |
| Mar 31, 2022 | 1.13 Mn |
| Dec 31, 2021 | 395,857.00 |
API Access
Milestone Scientific Other Accumulated 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=other-accumulated-expenses&ticker=MLSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "MLSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=MLSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();