Smartbird (BIRD) Restructuring Costs (2022 - 2026)
Smartbird's Restructuring Costs was $1.3 million in Q1 2026, up 131.3% from the prior quarter.
Smartbird (BIRD) Restructuring Costs (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Smartbird's Restructuring Costs was $1.86 million through Mar 31, 2026, up 79.9% year-over-year; for FY2025, it came in at $562,000, down 68.8% from FY2024.
- Restructuring Costs shows a three-year compound annual growth rate of -10.4% (FY2022 to FY2025).
- In earlier years, Restructuring Costs was $1.8 million in FY2024 (-73.4%), $6.76 million in FY2023 (+764.1%) and $782,000 in FY2022.
- The Q1 2026 figure marks the highest quarterly Restructuring Costs since Q1 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | Smartbird | 27.63 Mn | -74.54 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 562,000.00 |
| Sep 30, 2024 | 35,000.00 |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 800,000.00 |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 1.23 Mn |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 3.24 Mn |
| Dec 31, 2022 | 35,000.00 |
| Sep 30, 2022 | 747,000.00 |
Smartbird 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=BIRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "BIRD", "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=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();