Resmed (RMD) Inventory (2010 - 2026)
Resmed's Inventory was $1.02 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 8.0% from $945.81 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Resmed (RMD) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Inventory at Resmed came in at $945.81 million, up 2.0% from FY2025.
- Inventory shows a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $927.71 million in FY2025 (+12.8%), $822.25 million in FY2024 (-17.6%), $998.01 million in FY2023 (+34.2%) and $743.91 million in FY2022 (+62.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Inventory in data going back to fiscal Q4 2010.
- Compared with a year earlier, Inventory has increased for seven straight quarters, with growth averaging 4.3% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q1 2023 (growth of 70.7%); the worst was fiscal Q3 2024 (a decline of 18.0%).
- Per Business Quant data, RMD's Inventory in the three fiscal quarters before Q1 2027 was $945.81 million (Q4 2026), $911.88 million (Q3 2026) and $922.05 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 5.64 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 7.34 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 3.13 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 5.75 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 3.32 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 1.16 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Resmed | 33.31 Bn | 27.76 Bn | 870.57 Mn | 1.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.02 Bn |
| Jun 30, 2026 | 945.81 Mn |
| Mar 31, 2026 | 911.88 Mn |
| Dec 31, 2025 | 922.05 Mn |
| Sep 30, 2025 | 945.81 Mn |
| Jun 30, 2025 | 927.71 Mn |
| Mar 31, 2025 | 862.64 Mn |
| Dec 31, 2024 | 882.10 Mn |
| Sep 30, 2024 | 917.98 Mn |
| Jun 30, 2024 | 822.25 Mn |
| Mar 31, 2024 | 829.46 Mn |
| Dec 31, 2023 | 933.21 Mn |
| Sep 30, 2023 | 958.23 Mn |
| Jun 30, 2023 | 998.01 Mn |
| Mar 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 988.96 Mn |
| Sep 30, 2022 | 864.85 Mn |
| Jun 30, 2022 | 743.91 Mn |
| Mar 31, 2022 | 664.94 Mn |
| Dec 31, 2021 | 592.15 Mn |
API Access
Resmed Inventory 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=inventory&ticker=RMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "RMD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=RMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();