Natera (NTRA) Total Liabilities (2014 - 2026)
Natera (NTRA) recorded Total Liabilities of $836 million in Q2 2026, up 63.6% from $510.88 million a year earlier but down 0.5% from the prior quarter.
Natera (NTRA) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Natera reported Total Liabilities of $685.93 million, up 47.4% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $465.32 million in FY2024 (-31.2%), $676.37 million in FY2023 (-1.8%), $688.73 million in FY2022 (+18.1%) and $583.18 million in FY2021 (+30.8%).
- Quarterly Total Liabilities has ranged from $465.32 million in Q4 2024 to $840.38 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 70.6% in Q1 2026, against a decline of 31.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $840.38 million (Q1 2026), $685.93 million (Q4 2025) and $569.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 98.64 Bn | 98.22 Bn | - | 71.53 Bn |
| 2 | Natera | 54.42 Bn | 50.10 Bn | 485.19 Mn | 836.00 Mn |
| 3 | Labcorp Holdings | 28.77 Bn | 26.87 Bn | 1.11 Bn | 10.08 Bn |
| 4 | Quest Diagnostics | 27.60 Bn | 25.68 Bn | 1.04 Bn | 9.27 Bn |
| 5 | Guardant Health | 22.81 Bn | 18.87 Bn | 219.03 Mn | 2.14 Bn |
| 6 | Tenet Healthcare | 21.39 Bn | 12.88 Bn | - | 24.18 Bn |
| 7 | Tempus AI | 13.75 Bn | 10.78 Bn | 246.50 Mn | 1.92 Bn |
| 8 | Encompass Health | 13.53 Bn | 14.00 Bn | - | 4.05 Bn |
| 9 | BrightSpring Health Services | 13.09 Bn | 11.43 Bn | 492.75 Mn | 3.94 Bn |
| 10 | Fresenius Medical Care AG | 12.64 Bn | 5.70 Bn | 1.52 Bn | 20.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 836.00 Mn |
| Mar 31, 2026 | 840.38 Mn |
| Dec 31, 2025 | 685.93 Mn |
| Sep 30, 2025 | 569.29 Mn |
| Jun 30, 2025 | 510.88 Mn |
| Mar 31, 2025 | 492.69 Mn |
| Dec 31, 2024 | 465.32 Mn |
| Sep 30, 2024 | 712.42 Mn |
| Jun 30, 2024 | 680.47 Mn |
| Mar 31, 2024 | 674.09 Mn |
| Dec 31, 2023 | 676.37 Mn |
| Sep 30, 2023 | 661.86 Mn |
| Jun 30, 2023 | 651.75 Mn |
| Mar 31, 2023 | 668.31 Mn |
| Dec 31, 2022 | 688.73 Mn |
| Sep 30, 2022 | 647.49 Mn |
| Jun 30, 2022 | 622.39 Mn |
| Mar 31, 2022 | 602.33 Mn |
| Dec 31, 2021 | 583.18 Mn |
| Sep 30, 2021 | 552.36 Mn |
Natera 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=NTRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NTRA", "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=NTRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();