byNordic Acquisition (BYNO) Accumulated Expenses (2023 - 2026)
byNordic Acquisition (BYNO) recorded Accumulated Expenses of $973,811 in Q2 2026, up 155.1% from $381,740 a year earlier and up 24.4% from the prior quarter.
byNordic Acquisition (BYNO) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, byNordic Acquisition reported Accumulated Expenses of $457,734, up 53.3% from FY2024.
- Across earlier years, Accumulated Expenses came in at $298,650 in FY2024 (+313.0%) and $72,319 in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 144.0% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at $782,844 (Q1 2026), $457,734 (Q4 2025) and $453,136 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.43 Bn | 98.52 Bn | - |
| 2 | Intercontinental Exchange | 92.22 Bn | 85.96 Bn | - |
| 3 | Robinhood Markets | 86.78 Bn | 67.81 Bn | - |
| 4 | Nasdaq | 58.09 Bn | 55.52 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - |
| 6 | Cboe Global Markets | 34.46 Bn | 26.11 Bn | 731.60 Mn |
| 7 | Tradeweb Markets | 25.89 Bn | 17.90 Bn | - |
| 8 | LPL Financial Holdings | 25.45 Bn | 20.77 Bn | - |
| 9 | Circle Internet | 21.46 Bn | 15.33 Bn | 288.85 Mn |
| 10 | byNordic Acquisition | 176.00 Mn | 175.18 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 973,811.00 |
| Mar 31, 2026 | 782,844.00 |
| Dec 31, 2025 | 457,734.00 |
| Sep 30, 2025 | 453,136.00 |
| Jun 30, 2025 | 381,740.00 |
| Mar 31, 2025 | 341,274.00 |
| Dec 31, 2024 | 298,650.00 |
| Sep 30, 2024 | 335,397.00 |
| Jun 30, 2024 | 142,997.00 |
| Mar 31, 2024 | 133,587.00 |
| Dec 31, 2023 | 72,319.00 |
byNordic Acquisition Accumulated 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=accumulated-expenses&ticker=BYNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BYNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();