Airsculpt Technologies (AIRS) Long-Term Debt Repayments (2020 - 2026)
Airsculpt Technologies' Long-Term Debt Repayments came in at $1.39 million for Q2 2026, down 87.3% from $10.91 million a year earlier and down 87.8% from the prior quarter.
Airsculpt Technologies (AIRS) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Airsculpt Technologies reported Long-Term Debt Repayments of $14.57 million, up 11.8% year-over-year; for FY2025, it was $13.79 million, up 549.1% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 36.6% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $2.13 million in FY2024 (-82.5%), $12.13 million in FY2023 (-85.6%), $84.26 million in FY2022 and $838,000 in FY2021 (-71.1%).
- The five-year range for quarterly Long-Term Debt Repayments is $212,000 (Q4 2021) to $83.63 million (Q4 2022).
- Year-over-year, Long-Term Debt Repayments increased in four of the last seven quarters, with growth averaging 147.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2026 (growth of 969.1%), and the weakest in Q4 2023 (a decline of 99.4%).
- Business Quant data shows AIRS's Long-Term Debt Repayments at $11.37 million (Q1 2026), $910,000 (Q4 2025) and $910,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.22 Bn | 97.23 Bn | - | 2.55 Bn |
| 2 | Natera | 59.29 Bn | 54.98 Bn | 485.19 Mn | - |
| 3 | Quest Diagnostics | 26.56 Bn | 24.69 Bn | 1.03 Bn | 500.00 Mn |
| 4 | Labcorp Holdings | 26.41 Bn | 24.16 Bn | 1.11 Bn | 500.00 Mn |
| 5 | Tenet Healthcare | 22.49 Bn | 11.49 Bn | - | 26.00 Mn |
| 6 | Guardant Health | 22.12 Bn | 18.19 Bn | 219.03 Mn | - |
| 7 | BrightSpring Health Services | 12.91 Bn | 11.24 Bn | 492.75 Mn | 309.91 Mn |
| 8 | Fresenius Medical Care AG | 12.56 Bn | 4.51 Bn | 1.52 Bn | 505.70 Mn |
| 9 | Tempus AI | 12.17 Bn | 9.20 Bn | 246.50 Mn | - |
| 10 | Airsculpt Technologies | 90.25 Mn | 40.88 Mn | 26.33 Mn | 1.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Mn |
| Mar 31, 2026 | 11.37 Mn |
| Dec 31, 2025 | 910,000.00 |
| Sep 30, 2025 | -4.09 Mn |
| Jun 30, 2025 | 15.91 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 531,000.00 |
| Sep 30, 2024 | 531,000.00 |
| Jun 30, 2024 | 532,000.00 |
| Mar 31, 2024 | 531,000.00 |
| Dec 31, 2023 | 531,000.00 |
| Sep 30, 2023 | 10.53 Mn |
| Jun 30, 2023 | 532,000.00 |
| Mar 31, 2023 | 531,000.00 |
| Dec 31, 2022 | 83.63 Mn |
| Sep 30, 2022 | 212,000.00 |
| Jun 30, 2022 | 212,000.00 |
| Mar 31, 2022 | 213,000.00 |
| Dec 31, 2021 | 212,000.00 |
| Sep 30, 2021 | 213,000.00 |
Airsculpt Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AIRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AIRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();