Kyntra Bio (KYNB) Restructuring Costs (2023 - 2026)
Kyntra Bio's Restructuring Costs was $11,000 in Q2 2026, down 97.2% from $393,000 a year earlier and down 50.0% from the prior quarter.
Kyntra Bio (KYNB) Restructuring Costs (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kyntra Bio's Restructuring Costs was $67,000 through Jun 30, 2026, down 99.7% year-over-year; for FY2025, it was $553,000, down 97.2% from FY2024.
- In earlier years, Restructuring Costs was $19.5 million in FY2024 (+54.7%) and $12.61 million in FY2023.
- Quarterly Restructuring Costs has moved between -$7,000 (Q4 2025) and $18.55 million (Q3 2024) over five years.
- Compared with a year earlier, Restructuring Costs was higher in 1 of the last four quarters, with an average decline of 58.1%.
- Per Business Quant data, KYNB's Restructuring Costs in the three quarters before Q2 2026 was $22,000 (Q1 2026), -$7,000 (Q4 2025) and $41,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Kyntra Bio | 21.25 Mn | -386.69 Mn | 1.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11,000.00 |
| Mar 31, 2026 | 22,000.00 |
| Dec 31, 2025 | -7,000.00 |
| Sep 30, 2025 | 41,000.00 |
| Jun 30, 2025 | 393,000.00 |
| Mar 31, 2025 | 126,000.00 |
| Dec 31, 2024 | 946,000.00 |
| Sep 30, 2024 | 18.55 Mn |
| Sep 30, 2023 | 12.61 Mn |
Kyntra Bio Restructuring Costs 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=restructuring-costs&ticker=KYNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=KYNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();