Kyntra Bio (KYNB) Accumulated Expenses (2014 - 2026)
Kyntra Bio (KYNB) recorded Accumulated Expenses of $23.11 million in Q2 2026, down 35.6% from $35.92 million a year earlier but up 33.3% from the prior quarter.
Kyntra Bio (KYNB) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Kyntra Bio reported Accumulated Expenses of $20.18 million, down 67.5% from FY2024.
- Annual Accumulated Expenses has declined for three straight years, with a five-year compound annual growth rate of -29.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $62.04 million in FY2024 (-53.4%), $132.99 million in FY2023 (-39.5%), $219.77 million in FY2022 (+27.3%) and $172.6 million in FY2021 (+45.9%).
- Quarterly Accumulated Expenses has ranged from $17.34 million in Q1 2026 to $219.77 million in Q4 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for nine consecutive quarters, with an average decline of 56.1% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 69.7% in Q1 2022, against a decline of 82.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $17.34 million (Q1 2026), $20.18 million (Q4 2025) and $25.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.99 Bn | 1,139.58 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 642.25 Bn | 560.77 Bn | 17.26 Bn |
| 3 | AbbVie | 502.08 Bn | 475.19 Bn | 12.70 Bn |
| 4 | Merck | 375.61 Bn | 329.99 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.76 Bn | 266.75 Bn | 11.24 Bn |
| 6 | Astrazeneca | 268.66 Bn | 242.35 Bn | 12.86 Bn |
| 7 | Amgen | 241.98 Bn | 197.38 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.37 Bn | 167.57 Bn | 6.22 Bn |
| 9 | Pfizer | 172.42 Bn | 119.07 Bn | 10.94 Bn |
| 10 | Kyntra Bio | 21.25 Mn | -386.69 Mn | 1.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.11 Mn |
| Mar 31, 2026 | 17.34 Mn |
| Dec 31, 2025 | 20.18 Mn |
| Sep 30, 2025 | 25.78 Mn |
| Jun 30, 2025 | 35.92 Mn |
| Mar 31, 2025 | 35.32 Mn |
| Dec 31, 2024 | 62.04 Mn |
| Sep 30, 2024 | 151.14 Mn |
| Jun 30, 2024 | 113.57 Mn |
| Mar 31, 2024 | 164.29 Mn |
| Dec 31, 2023 | 132.99 Mn |
| Sep 30, 2023 | 170.99 Mn |
| Jun 30, 2023 | 162.77 Mn |
| Mar 31, 2023 | 157.04 Mn |
| Dec 31, 2022 | 219.77 Mn |
| Sep 30, 2022 | 213.81 Mn |
| Jun 30, 2022 | 193.10 Mn |
| Mar 31, 2022 | 203.30 Mn |
| Dec 31, 2021 | 172.60 Mn |
| Sep 30, 2021 | 151.35 Mn |
Kyntra Bio 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=KYNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "KYNB", "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=KYNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();