Biote (BTMD) Total Non-Current Liabilities (2020 - 2026)
Biote (BTMD) recorded Total Non-Current Liabilities of $163.3 million in Q2 2026, down 6.9% from $175.36 million a year earlier but up 23.0% from the prior quarter.
Biote (BTMD) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Biote reported Total Non-Current Liabilities of $161.77 million, down 22.0% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 56.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $207.44 million in FY2024 (+37.6%), $150.74 million in FY2023 (+9.4%), $137.81 million in FY2022 (+240.9%) and $40.43 million in FY2021 (+134.7%).
- Quarterly Total Non-Current Liabilities has ranged from $40.43 million in Q4 2021 to $308.59 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for five consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 240.9% in Q4 2022, against a decline of 54.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $132.8 million (Q1 2026), $161.77 million (Q4 2025) and $178.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 106.37 Bn | 104.21 Bn | 17.03 Bn | - |
| 2 | Natera | 45.03 Bn | 40.66 Bn | 513.47 Mn | 642.92 Mn |
| 3 | Labcorp Holdings | 30.12 Bn | 28.22 Bn | 1.11 Bn | 9.35 Bn |
| 4 | Quest Diagnostics | 28.44 Bn | 26.52 Bn | 1.04 Bn | 8.01 Bn |
| 5 | Guardant Health | 20.93 Bn | 16.54 Bn | 236.15 Mn | 2.04 Bn |
| 6 | BrightSpring Health Services | 14.41 Bn | 11.29 Bn | 518.55 Mn | 68.23 Mn |
| 7 | Tempus AI | 14.27 Bn | 11.42 Bn | 266.70 Mn | 1.90 Bn |
| 8 | Encompass Health | 13.98 Bn | 14.44 Bn | 1.54 Bn | 3.84 Bn |
| 9 | Davita | 11.35 Bn | 10.22 Bn | 1.13 Bn | 18.31 Bn |
| 10 | Biote | 42.67 Mn | 961,552.38 | 29.33 Mn | 162.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 162.86 Mn |
| Jun 30, 2026 | 155.70 Mn |
| Mar 31, 2026 | 130.71 Mn |
| Dec 31, 2025 | 157.31 Mn |
| Sep 30, 2025 | 166.70 Mn |
| Jun 30, 2025 | 170.97 Mn |
| Mar 31, 2025 | 197.37 Mn |
| Dec 31, 2024 | 201.46 Mn |
| Sep 30, 2024 | 207.30 Mn |
| Jun 30, 2024 | 206.44 Mn |
| Mar 31, 2024 | 132.59 Mn |
| Dec 31, 2023 | 131.85 Mn |
| Sep 30, 2023 | 136.02 Mn |
| Jun 30, 2023 | 133.94 Mn |
| Mar 31, 2023 | 133.45 Mn |
| Dec 31, 2022 | 133.71 Mn |
| Sep 30, 2022 | 136.71 Mn |
| Jun 30, 2022 | 148.60 Mn |
| Mar 31, 2022 | 299.77 Mn |
| Dec 31, 2021 | 40.43 Mn |
Biote 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=BTMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BTMD", "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=BTMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();