Iradimed (IRMD) Total Liabilities (2013 - 2026)
Iradimed (IRMD) posted Total Liabilities of $14.62 million for Q3 2026, down 10.7% from $16.37 million a year earlier but up 10.5% 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 increased in five of the last eight quarters, with growth averaging 10.1%.
- 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 $13.23 million (Q2 2026), $15.88 million (Q1 2026) and $14.16 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Iradimed | 1.11 Bn | 877.45 Mn | 18.46 Mn | 14.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.62 Mn |
| 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 |
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();