Tactile Systems Technology (TCMD) Operating Expenses (2015 - 2026)
Tactile Systems Technology (TCMD) recorded Operating Expenses of $58.52 million in Q2 2026, up 7.0% from $54.71 million a year earlier but down 1.1% from the prior quarter.
Tactile Systems Technology (TCMD) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Tactile Systems Technology's Operating Expenses came in at $233.94 million as of Jun 30, 2026, up 14.4% year-over-year; for FY2025, it was $220.87 million, up 13.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $194.51 million in FY2024 (+9.8%), $177.09 million in FY2023 (-6.2%), $188.73 million in FY2022 (+25.8%) and $149.98 million in FY2021 (+9.9%).
- Quarterly Operating Expenses has ranged from $38.34 million in Q3 2021 to $62.23 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for ten consecutive quarters, with growth averaging 14.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 42.1% in Q1 2022, against a decline of 14.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $59.15 million (Q1 2026), $62.23 million (Q4 2025) and $54.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Tactile Systems Technology | 511.46 Mn | 217.20 Mn | 65.35 Mn | 58.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.52 Mn |
| Mar 31, 2026 | 59.15 Mn |
| Dec 31, 2025 | 62.23 Mn |
| Sep 30, 2025 | 54.04 Mn |
| Jun 30, 2025 | 54.71 Mn |
| Mar 31, 2025 | 49.89 Mn |
| Dec 31, 2024 | 51.85 Mn |
| Sep 30, 2024 | 48.01 Mn |
| Jun 30, 2024 | 48.25 Mn |
| Mar 31, 2024 | 46.39 Mn |
| Dec 31, 2023 | 44.21 Mn |
| Sep 30, 2023 | 41.37 Mn |
| Jun 30, 2023 | 46.24 Mn |
| Mar 31, 2023 | 45.27 Mn |
| Dec 31, 2022 | 44.25 Mn |
| Sep 30, 2022 | 48.41 Mn |
| Jun 30, 2022 | 47.31 Mn |
| Mar 31, 2022 | 48.76 Mn |
| Dec 31, 2021 | 41.05 Mn |
| Sep 30, 2021 | 38.34 Mn |
Tactile Systems Technology Operating 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=operating-expenses&ticker=TCMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TCMD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TCMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();