Natera (NTRA) Change in Accured Expenses (2014 - 2026)
Natera (NTRA) reported Change in Accured Expenses of -$39.33 million for Q2 2026, compared with $13.6 million a year earlier.
Natera (NTRA) Change in Accured Expenses (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Natera's Change in Accured Expenses came in at $78.7 million, up 28.8% year-over-year; for FY2025, it was $60.27 million, up 49.4% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 33.4% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $40.33 million in FY2024 (+86.5%), $21.62 million in FY2023 (-54.6%), $47.65 million in FY2022 (+45.8%) and $32.68 million in FY2021 (+128.8%).
- The Q2 2026 figure ranks as the lowest quarterly Change in Accured Expenses in data going back to Q3 2014.
- Year over year, Change in Accured Expenses gained in five of the last seven quarters, with growth averaging 136.3%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2025 (growth of 611.2%); the low point was Q2 2024 (a decline of 72.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $98.23 million (Q1 2026), $12.07 million (Q4 2025) and $7.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.24 Bn | 99.25 Bn | - | 551.00 Mn |
| 2 | Natera | 57.21 Bn | 52.90 Bn | 485.19 Mn | -39.33 Mn |
| 3 | Labcorp Holdings | 26.01 Bn | 23.76 Bn | 1.11 Bn | -24.00 Mn |
| 4 | Quest Diagnostics | 26.01 Bn | 24.14 Bn | 1.03 Bn | 142.00 Mn |
| 5 | Tenet Healthcare | 22.72 Bn | 11.73 Bn | - | -493.00 Mn |
| 6 | Guardant Health | 21.67 Bn | 17.73 Bn | 219.03 Mn | 44.29 Mn |
| 7 | BrightSpring Health Services | 12.98 Bn | 11.31 Bn | 492.75 Mn | 16.92 Mn |
| 8 | Tempus AI | 12.47 Bn | 9.50 Bn | 246.50 Mn | 14.68 Mn |
| 9 | Fresenius Medical Care AG | 12.45 Bn | 4.40 Bn | 1.52 Bn | -17.82 Mn |
| 10 | Encompass Health | 12.43 Bn | 12.09 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.33 Mn |
| Mar 31, 2026 | 98.23 Mn |
| Dec 31, 2025 | 12.07 Mn |
| Sep 30, 2025 | 7.74 Mn |
| Jun 30, 2025 | 13.60 Mn |
| Mar 31, 2025 | 26.87 Mn |
| Dec 31, 2024 | 13.06 Mn |
| Sep 30, 2024 | 7.56 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 17.79 Mn |
| Dec 31, 2023 | 6.44 Mn |
| Sep 30, 2023 | 26.35 Mn |
| Jun 30, 2023 | 7.01 Mn |
| Mar 31, 2023 | -18.18 Mn |
| Dec 31, 2022 | 12.23 Mn |
| Sep 30, 2022 | 5.90 Mn |
| Jun 30, 2022 | 8.19 Mn |
| Mar 31, 2022 | 21.34 Mn |
| Dec 31, 2021 | -2.16 Mn |
| Sep 30, 2021 | 10.47 Mn |
Natera Change in Accured Expenses 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=change-in-accured-expenses&ticker=NTRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NTRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();