Natera (NTRA) Change in Accrued 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.
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Analysis
Natera (NTRA) Change in Accrued 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 106.13 Bn | 102.23 Bn | - | 769.00 Mn |
| 2 | Natera | 44.93 Bn | 40.56 Bn | 513.47 Mn | 7.92 Mn |
| 3 | Labcorp Holdings | 29.97 Bn | 28.06 Bn | 1.11 Bn | -53.00 Mn |
| 4 | Quest Diagnostics | 28.09 Bn | 25.85 Bn | 1.04 Bn | 114.00 Mn |
| 5 | Tenet Healthcare | 22.72 Bn | 12.03 Bn | - | -404.00 Mn |
| 6 | Guardant Health | 20.11 Bn | 15.73 Bn | 236.15 Mn | 41.71 Mn |
| 7 | BrightSpring Health Services | 13.90 Bn | 11.66 Bn | 518.55 Mn | 19.24 Mn |
| 8 | Tempus AI | 13.80 Bn | 10.95 Bn | 266.70 Mn | 38.55 Mn |
| 9 | Encompass Health | 13.52 Bn | 13.15 Bn | - | - |
| 10 | Davita | 12.21 Bn | 9.59 Bn | 1.13 Bn | 43.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.92 Mn |
| 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 |
API Access
Natera Change in Accrued 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_KEYimport 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();