byNordic Acquisition (BYNO) Change in Accured Expenses (2021 - 2026)
byNordic Acquisition's Change in Accured Expenses was $190,967 in Q2 2026, up 371.9% from $40,466 a year earlier but down 41.3% from the prior quarter.
byNordic Acquisition (BYNO) Change in Accured Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, byNordic Acquisition's Change in Accured Expenses was $592,071 through Jun 30, 2026, up 148.0% year-over-year; for FY2025, it was $159,084, down 29.7% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 365.2% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $226,331 in FY2024, -$167,648 in FY2023, $208,967 in FY2022 and $5,073 in FY2021.
- Quarterly Change in Accured Expenses has moved between -$201,739 (Q4 2023) and $325,110 (Q1 2026) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last six quarters, with growth averaging 224.2%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q1 2026 (growth of 662.7%); the worst was Q1 2023 (a decline of 98.2%).
- Per Business Quant data, BYNO's Change in Accured Expenses in the three quarters before Q2 2026 was $325,110 (Q1 2026), $4,598 (Q4 2025) and $71,396 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.39 Bn | 98.49 Bn | - | -70.30 Mn |
| 2 | Intercontinental Exchange | 92.01 Bn | 85.75 Bn | - | -77.00 Mn |
| 3 | Robinhood Markets | 85.52 Bn | 66.56 Bn | - | 67.00 Mn |
| 4 | Nasdaq | 57.64 Bn | 55.07 Bn | 1.48 Bn | 79.00 Mn |
| 5 | Interactive Brokers | 36.02 Bn | 13.13 Bn | - | 364.00 Mn |
| 6 | Cboe Global Markets | 35.45 Bn | 27.11 Bn | 731.60 Mn | 69.70 Mn |
| 7 | Tradeweb Markets | 26.07 Bn | 18.09 Bn | - | 49.37 Mn |
| 8 | LPL Financial Holdings | 25.10 Bn | 20.42 Bn | - | 55.29 Mn |
| 9 | Circle Internet | 21.14 Bn | 15.02 Bn | 288.85 Mn | 133.37 Mn |
| 10 | byNordic Acquisition | 176.00 Mn | 175.18 Mn | - | 190,967.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 190,967.00 |
| Mar 31, 2026 | 325,110.00 |
| Dec 31, 2025 | 4,598.00 |
| Sep 30, 2025 | 71,396.00 |
| Jun 30, 2025 | 40,466.00 |
| Mar 31, 2025 | 42,624.00 |
| Dec 31, 2024 | -36,747.00 |
| Sep 30, 2024 | 192,400.00 |
| Jun 30, 2024 | 9,410.00 |
| Mar 31, 2024 | 61,268.00 |
| Dec 31, 2023 | -201,739.00 |
| Sep 30, 2023 | 110,494.00 |
| Jun 30, 2023 | -79,260.00 |
| Mar 31, 2023 | 2,857.00 |
| Dec 31, 2022 | -4,535.00 |
| Sep 30, 2022 | 34,781.00 |
| Jun 30, 2022 | 19,762.00 |
| Mar 31, 2022 | 158,959.00 |
| Dec 31, 2021 | -50,000.00 |
| Sep 30, 2021 | 150.00 |
byNordic Acquisition 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=BYNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BYNO", "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=BYNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();