Iradimed (IRMD) Operating Expenses (2013 - 2026)
Iradimed (IRMD) recorded Operating Expenses of $8.77 million in Q2 2026, down 4.3% from $9.17 million a year earlier and down 8.4% from the prior quarter.
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Analysis
Iradimed (IRMD) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Iradimed's Operating Expenses came in at $37.94 million as of Jun 30, 2026, up 5.6% year-over-year; for FY2025, it came in at $38.18 million, up 11.0% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $34.39 million in FY2024 (+14.1%), $30.12 million in FY2023 (+17.4%), $25.65 million in FY2022 (+15.4%) and $22.23 million in FY2021 (-8.6%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 8.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 22.4% in Q1 2023, against a decline of 4.3% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.58 million (Q1 2026), $9.94 million (Q4 2025) and $9.66 million (Q3 2025).
Peer Set
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 | Iradimed | 1.11 Bn | 882.40 Mn | 15.16 Mn | 8.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.77 Mn |
| Mar 31, 2026 | 9.58 Mn |
| Dec 31, 2025 | 9.94 Mn |
| Sep 30, 2025 | 9.66 Mn |
| Jun 30, 2025 | 9.17 Mn |
| Mar 31, 2025 | 9.41 Mn |
| Dec 31, 2024 | 8.96 Mn |
| Sep 30, 2024 | 8.40 Mn |
| Jun 30, 2024 | 8.38 Mn |
| Mar 31, 2024 | 8.64 Mn |
| Dec 31, 2023 | 8.25 Mn |
| Sep 30, 2023 | 6.93 Mn |
| Jun 30, 2023 | 7.22 Mn |
| Mar 31, 2023 | 7.71 Mn |
| Dec 31, 2022 | 6.97 Mn |
| Sep 30, 2022 | 6.41 Mn |
| Jun 30, 2022 | 5.97 Mn |
| Mar 31, 2022 | 6.30 Mn |
| Dec 31, 2021 | 6.14 Mn |
| Sep 30, 2021 | 5.32 Mn |
API Access
Iradimed 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=IRMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IRMD", "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=IRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();