Ginkgo Bioworks Holdings (DNA) Restructuring Costs (2024 - 2025)
Ginkgo Bioworks Holdings' Restructuring Costs was $706,000 in Q4 2025, down 83.0% from $4.16 million a year earlier and down 59.5% from the prior quarter.
Ginkgo Bioworks Holdings (DNA) Restructuring Costs (2024 - 2025) Analysis & Trends
For FY2025, Restructuring Costs at Ginkgo Bioworks Holdings came in at $11.4 million, down 52.8% from FY2024.
- In earlier years, Restructuring Costs was $24.17 million in FY2024.
- Compared with a year earlier, Restructuring Costs has declined for three straight quarters.
- Per Business Quant data, DNA's Restructuring Costs in the three quarters before Q4 2025 was $1.75 million (Q3 2025), $3.6 million (Q2 2025) and $4.5 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Iqvia Holdings | 45.39 Bn | 36.65 Bn | 1.50 Bn |
| 2 | Medpace Holdings | 18.59 Bn | 16.24 Bn | 223.89 Mn |
| 3 | Charles River Laboratories International | 16.59 Bn | 15.79 Bn | 357.87 Mn |
| 4 | Icon | 15.81 Bn | 12.58 Bn | 491.83 Mn |
| 5 | Fortrea Holdings | 2.06 Bn | 1.35 Bn | 139.50 Mn |
| 6 | Ginkgo Bioworks Holdings | 758.79 Mn | -3.29 Mn | 18.44 Mn |
| 7 | Evotec SE | 603.77 Mn | -1.27 Bn | - |
| 8 | Champions Oncology | 68.48 Mn | 44.13 Mn | 7.70 Mn |
| 9 | MindWalk Holdings | 48.71 Mn | 12.36 Mn | 1.61 Mn |
| 10 | Natural Alternatives International | 6.87 Mn | -21.21 Mn | 1.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 706,000.00 |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 4.50 Mn |
| Dec 31, 2024 | 4.16 Mn |
| Sep 30, 2024 | 2.95 Mn |
| Jun 30, 2024 | 17.07 Mn |
Ginkgo Bioworks Holdings 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=DNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "DNA", "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=DNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();