Beyond Air (XAIR) Operating Expenses (2016 - 2026)
Beyond Air's Operating Expenses came in at $6.84 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 12.0% from $7.77 million a year earlier and down 5.9% from the prior quarter.
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Analysis
Beyond Air (XAIR) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Beyond Air reported Operating Expenses of $28.36 million, down 24.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $29.3 million, down 31.7% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $42.87 million in FY2025 (-30.5%), $61.7 million in FY2024 (+19.8%), $51.5 million in FY2023 (+26.5%) and $40.71 million in FY2022 (+76.3%).
- The fiscal Q1 2027 figure represents the lowest quarterly Operating Expenses since fiscal Q2 2022.
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 29.2%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 294.5%), and the weakest in fiscal Q1 2026 (a decline of 41.3%).
- Business Quant data shows XAIR's Operating Expenses at $7.26 million (Q4 2026), $6.9 million (Q3 2026) and $7.36 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Beyond Air | 2.05 Mn | -40.92 Mn | 225,000.00 | 6.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.84 Mn |
| Mar 31, 2026 | 7.26 Mn |
| Dec 31, 2025 | 6.90 Mn |
| Sep 30, 2025 | 7.36 Mn |
| Jun 30, 2025 | 7.77 Mn |
| Mar 31, 2025 | 7.14 Mn |
| Dec 31, 2024 | 10.74 Mn |
| Sep 30, 2024 | 11.75 Mn |
| Jun 30, 2024 | 13.25 Mn |
| Mar 31, 2024 | 12.12 Mn |
| Dec 31, 2023 | 16.61 Mn |
| Sep 30, 2023 | 17.34 Mn |
| Jun 30, 2023 | 15.63 Mn |
| Mar 31, 2023 | 13.68 Mn |
| Dec 31, 2022 | 13.94 Mn |
| Sep 30, 2022 | 12.44 Mn |
| Jun 30, 2022 | 11.44 Mn |
| Mar 31, 2022 | 20.43 Mn |
| Dec 31, 2021 | 7.49 Mn |
| Sep 30, 2021 | 6.20 Mn |
API Access
Beyond Air 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=XAIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XAIR", "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=XAIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();