Airsculpt Technologies (AIRS) Total Non-Current Liabilities (2021 - 2025)
Airsculpt Technologies (AIRS) posted Total Non-Current Liabilities of $99.59 million for Q4 2025, down 25.6% from $133.78 million a year earlier and down 4.1% from the prior quarter.
Airsculpt Technologies (AIRS) Total Non-Current Liabilities (2021 - 2025) Analysis & Trends
Since Q4 2021, Airsculpt Technologies has reported Total Non-Current Liabilities for 15 quarters.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of -4.0% (FY2021 to FY2025).
- In prior years, Airsculpt Technologies' Total Non-Current Liabilities was $133.78 million in FY2024 (+10.9%), $120.65 million in FY2023 (-6.5%), $128.97 million in FY2022 (+10.2%) and $117.03 million in FY2021.
- The Q4 2025 figure stands as the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2021.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with an average decline of 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 10.9%; the weakest was Q4 2025, with a decline of 25.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $103.82 million (Q3 2025), $108.21 million (Q2 2025) and $126.56 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | - |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 715.49 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 8.06 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 9.21 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 2.01 Bn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 22.34 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 1.86 Bn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 3.84 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 18.38 Bn |
| 10 | Airsculpt Technologies | 134.46 Mn | 85.09 Mn | 26.33 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 99.59 Mn |
| Sep 30, 2025 | 103.82 Mn |
| Jun 30, 2025 | 108.21 Mn |
| Mar 31, 2025 | 126.56 Mn |
| Dec 31, 2024 | 133.78 Mn |
| Sep 30, 2024 | 124.54 Mn |
| Jun 30, 2024 | 123.57 Mn |
| Mar 31, 2024 | 119.21 Mn |
| Dec 31, 2023 | 120.65 Mn |
| Sep 30, 2023 | 118.91 Mn |
| Jun 30, 2023 | 134.79 Mn |
| Mar 31, 2023 | 133.27 Mn |
| Dec 31, 2022 | 128.97 Mn |
| Sep 30, 2022 | 119.91 Mn |
| Dec 31, 2021 | 117.03 Mn |
Airsculpt Technologies Total Non-Current 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-non-current-liabilities&ticker=AIRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AIRS", "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-non-current-liabilities&ticker=AIRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();