Iradimed (IRMD) Total Liabilities (2013 - 2026)
Iradimed (IRMD) posted Total Liabilities of $13.23 million for Q2 2026, up 8.9% from $12.15 million a year earlier but down 16.7% from the prior quarter.
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Analysis
Iradimed (IRMD) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Iradimed's Total Liabilities came in at $14.16 million, up 23.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, Iradimed's Total Liabilities was $11.51 million in FY2024 (-44.5%), $20.74 million in FY2023 (+75.1%), $11.84 million in FY2022 (+10.6%) and $10.71 million in FY2021 (+10.6%).
- Quarterly Total Liabilities has run from a low of $9.77 million in Q3 2022 to a high of $20.74 million in Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 9.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2023, with growth of 75.1%; the weakest was Q4 2024, with a decline of 44.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $15.88 million (Q1 2026), $14.16 million (Q4 2025) and $16.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Iradimed | 1.11 Bn | 882.40 Mn | 15.16 Mn | 13.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.23 Mn |
| Mar 31, 2026 | 15.88 Mn |
| Dec 31, 2025 | 14.16 Mn |
| Sep 30, 2025 | 16.37 Mn |
| Jun 30, 2025 | 12.15 Mn |
| Mar 31, 2025 | 11.67 Mn |
| Dec 31, 2024 | 11.51 Mn |
| Sep 30, 2024 | 10.81 Mn |
| Jun 30, 2024 | 10.28 Mn |
| Mar 31, 2024 | 11.89 Mn |
| Dec 31, 2023 | 20.74 Mn |
| Sep 30, 2023 | 12.84 Mn |
| Jun 30, 2023 | 12.43 Mn |
| Mar 31, 2023 | 11.28 Mn |
| Dec 31, 2022 | 11.84 Mn |
| Sep 30, 2022 | 9.77 Mn |
| Jun 30, 2022 | 9.83 Mn |
| Mar 31, 2022 | 9.85 Mn |
| Dec 31, 2021 | 10.71 Mn |
| Sep 30, 2021 | 10.51 Mn |
API Access
Iradimed Total Liabilities 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=total-liabilities&ticker=IRMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=IRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();