Airsculpt Technologies (AIRS) Total Debt (2020 - 2026)
Airsculpt Technologies (AIRS) posted Total Debt of $43.57 million for Q2 2026, down 24.5% from $57.74 million a year earlier and down 2.8% from the prior quarter.
Airsculpt Technologies (AIRS) Total Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Airsculpt Technologies' Total Debt came in at $56.05 million, down 19.6% from FY2024.
- Annual Total Debt has declined for three consecutive years, though with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, Airsculpt Technologies' Total Debt was $69.71 million in FY2024 (-2.7%), $71.63 million in FY2023 (-14.3%), $83.55 million in FY2022 (+1.1%) and $82.61 million in FY2021 (+154.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Debt since Q4 2020.
- On a year-over-year basis, Total Debt has declined in each of the last 12 quarters, with an average decline of 15.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q4 2021, with growth of 154.0%; the weakest was Q1 2026, with a decline of 34.6%.
- According to Business Quant data, Total Debt for the three prior quarters was $44.82 million (Q1 2026), $56.05 million (Q4 2025) and $56.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 49.72 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 80.29 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 5.64 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 5.86 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | - |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 13.25 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | - |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 2.63 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 10.78 Bn |
| 10 | Airsculpt Technologies | 134.46 Mn | 85.09 Mn | 26.33 Mn | 43.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.57 Mn |
| Mar 31, 2026 | 44.82 Mn |
| Dec 31, 2025 | 56.05 Mn |
| Sep 30, 2025 | 56.91 Mn |
| Jun 30, 2025 | 57.74 Mn |
| Mar 31, 2025 | 68.51 Mn |
| Dec 31, 2024 | 69.71 Mn |
| Sep 30, 2024 | 70.14 Mn |
| Jun 30, 2024 | 70.73 Mn |
| Mar 31, 2024 | 71.18 Mn |
| Dec 31, 2023 | 71.63 Mn |
| Sep 30, 2023 | 72.73 Mn |
| Jun 30, 2023 | 83.00 Mn |
| Mar 31, 2023 | 83.27 Mn |
| Dec 31, 2022 | 83.55 Mn |
| Sep 30, 2022 | 82.45 Mn |
| Jun 30, 2022 | 82.66 Mn |
| Mar 31, 2022 | 82.60 Mn |
| Dec 31, 2021 | 82.61 Mn |
| Sep 30, 2021 | 82.97 Mn |
Airsculpt Technologies Total Debt 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-debt&ticker=AIRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=AIRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();