Beyond Air (XAIR) Total Liabilities (2015 - 2026)
Beyond Air (XAIR) reported Total Liabilities of $30.05 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 69.7% from $17.71 million a year earlier and up 3.0% from the prior quarter.
Beyond Air (XAIR) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Beyond Air posted Total Liabilities of $29.18 million, up 85.6% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 23.7% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $15.72 million in FY2025 (-47.2%), $29.78 million in FY2024 (+11.4%), $26.72 million in FY2023 (+27.3%) and $20.99 million in FY2022 (+108.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Liabilities since fiscal Q1 2024.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 7.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2023 (growth of 116.9%); the low point was fiscal Q4 2025 (a decline of 47.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $29.18 million (Q4 2026), $28.49 million (Q3 2026) and $17.87 million (Q2 2026).
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 | Beyond Air | 2.10 Mn | -40.86 Mn | 225,000.00 | 30.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.05 Mn |
| Mar 31, 2026 | 29.18 Mn |
| Dec 31, 2025 | 28.49 Mn |
| Sep 30, 2025 | 17.87 Mn |
| Jun 30, 2025 | 17.71 Mn |
| Mar 31, 2025 | 15.72 Mn |
| Dec 31, 2024 | 15.76 Mn |
| Sep 30, 2024 | 23.72 Mn |
| Jun 30, 2024 | 28.80 Mn |
| Mar 31, 2024 | 29.78 Mn |
| Dec 31, 2023 | 28.44 Mn |
| Sep 30, 2023 | 29.17 Mn |
| Jun 30, 2023 | 33.90 Mn |
| Mar 31, 2023 | 26.72 Mn |
| Dec 31, 2022 | 18.52 Mn |
| Sep 30, 2022 | 18.39 Mn |
| Jun 30, 2022 | 20.55 Mn |
| Mar 31, 2022 | 20.99 Mn |
| Dec 31, 2021 | 8.54 Mn |
| Sep 30, 2021 | 13.14 Mn |
Beyond Air 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=XAIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=XAIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();