Lantheus Holdings (LNTH) Change in Accured Expenses (2014 - 2026)
Lantheus Holdings (LNTH) recorded Change in Accured Expenses of -$1.99 million in Q2 2026, compared with -$5.95 million a year earlier.
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Analysis
Lantheus Holdings (LNTH) Change in Accured Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Lantheus Holdings' Change in Accured Expenses came in at $14.55 million as of Jun 30, 2026, down 46.9% year-over-year; for FY2025, it came in at -$9.08 million.
- Across earlier years, Change in Accured Expenses came in at $46.77 million in FY2024, -$81.11 million in FY2023, $63.58 million in FY2022 (+293.8%) and $16.15 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$123.81 million in Q2 2023 to $50.45 million in Q1 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last five quarters, with growth averaging 125.1%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 591.2% in Q1 2026, against a decline of 93.4% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $23 million (Q1 2026), $19.85 million (Q4 2025) and -$26.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | - |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 123.70 Mn |
| 10 | Lantheus Holdings | 6.53 Bn | 4.70 Bn | 241.86 Mn | -1.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.99 Mn |
| Mar 31, 2026 | 23.00 Mn |
| Dec 31, 2025 | 19.85 Mn |
| Sep 30, 2025 | -26.31 Mn |
| Jun 30, 2025 | -5.95 Mn |
| Mar 31, 2025 | 3.33 Mn |
| Dec 31, 2024 | 28.24 Mn |
| Sep 30, 2024 | 1.81 Mn |
| Jun 30, 2024 | -33.73 Mn |
| Mar 31, 2024 | 50.45 Mn |
| Dec 31, 2023 | 8.08 Mn |
| Sep 30, 2023 | 22.81 Mn |
| Jun 30, 2023 | -123.81 Mn |
| Mar 31, 2023 | 11.80 Mn |
| Dec 31, 2022 | 33.20 Mn |
| Sep 30, 2022 | 7.01 Mn |
| Jun 30, 2022 | 24.40 Mn |
| Mar 31, 2022 | -1.04 Mn |
| Dec 31, 2021 | 12.20 Mn |
| Sep 30, 2021 | 3.93 Mn |
API Access
Lantheus Holdings 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=LNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LNTH", "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=LNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();