Esquire Financial Holdings (ESQ) Change in Accured Expenses (2016 - 2026)
Esquire Financial Holdings (ESQ) reported Change in Accured Expenses of $324,000 for Q2 2026, compared with -$1.36 million a year earlier and down 92.7% from the prior quarter.
Esquire Financial Holdings (ESQ) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Esquire Financial Holdings' Change in Accured Expenses came in at $4.21 million, up 224.9% year-over-year; for FY2025, it was $669,000, down 4.2% from FY2024.
- Change in Accured Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 49.7% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $698,000 in FY2024 (-59.7%), $1.73 million in FY2023 (-35.5%), $2.68 million in FY2022 (+356.9%) and $587,000 in FY2021 (+559.6%).
- Five-year quarterly Change in Accured Expenses spans a low of -$3.11 million in Q4 2025 and a high of $5.98 million in Q1 2023.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2022 (growth of 578.1%); the low point was Q3 2021 (a decline of 68.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.42 million (Q1 2026), -$3.11 million (Q4 2025) and $2.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | Esquire Financial Holdings | 1.04 Bn | 96.19 Mn | - | 324,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324,000.00 |
| Mar 31, 2026 | 4.42 Mn |
| Dec 31, 2025 | -3.11 Mn |
| Sep 30, 2025 | 2.57 Mn |
| Jun 30, 2025 | -1.36 Mn |
| Mar 31, 2025 | 2.56 Mn |
| Dec 31, 2024 | -2.12 Mn |
| Sep 30, 2024 | 2.21 Mn |
| Jun 30, 2024 | -1.64 Mn |
| Mar 31, 2024 | 2.25 Mn |
| Dec 31, 2023 | -2.84 Mn |
| Sep 30, 2023 | 1.53 Mn |
| Jun 30, 2023 | -2.94 Mn |
| Mar 31, 2023 | 5.98 Mn |
| Dec 31, 2022 | -2.67 Mn |
| Sep 30, 2022 | 2.98 Mn |
| Jun 30, 2022 | 1.08 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | -2.28 Mn |
| Sep 30, 2021 | 439,000.00 |
Esquire Financial 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=ESQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ESQ", "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=ESQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();