Leifras (LFS) Change in Accured Expenses (2024 - 2026)
Leifras' Change in Accured Expenses came in at -$578,306 for Q1 2026, compared with -$653,958 a year earlier.
Leifras (LFS) Change in Accured Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Leifras reported Change in Accured Expenses of $471,849; for FY2025, it came in at $326,887.
- Going back by year, Change in Accured Expenses was -$572,034 in FY2024 and $2.32 million in FY2023.
- The five-year range for quarterly Change in Accured Expenses is -$653,958 (Q1 2025) to $1.02 million (Q2 2025).
- Business Quant data shows LFS's Change in Accured Expenses at -$153,608 (Q4 2025), $184,128 (Q3 2025) and $1.02 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.45 Bn | 9.45 Bn | 273.50 Mn | -12.06 Mn |
| 2 | New Oriental Education & Technology | 8.61 Bn | -6.16 Bn | 812.22 Mn | - |
| 3 | Laureate Education | 5.23 Bn | 4.53 Bn | 237.67 Mn | 48.01 Mn |
| 4 | Graham Holdings | 4.91 Bn | 37.46 Mn | 392.03 Mn | 8.59 Mn |
| 5 | Covista | 4.19 Bn | 3.32 Bn | 284.63 Mn | 471,000.00 |
| 6 | Valvoline | 3.93 Bn | 3.64 Bn | 214.90 Mn | 17.70 Mn |
| 7 | Stride | 3.22 Bn | 111.08 Mn | 217.28 Mn | 2.45 Mn |
| 8 | Bright Horizons Family Solutions | 3.19 Bn | 2.64 Bn | 188.96 Mn | 43.89 Mn |
| 9 | TAL Education | 2.31 Bn | -11.63 Bn | 438.20 Mn | - |
| 10 | Leifras | 54.94 Mn | -11.13 Mn | 6.07 Mn | -578,306.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -578,306.00 |
| Dec 31, 2025 | -153,608.22 |
| Sep 30, 2025 | 184,127.92 |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | -653,958.12 |
| Dec 31, 2024 | 773,895.58 |
| Sep 30, 2024 | 448,810.44 |
Leifras 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=LFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LFS", "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=LFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();