Smartbird (BIRD) Finished Goods (2022 - 2025)
Smartbird's Finished Goods came in at $40.53 million for Q4 2025, down 15.1% from $47.74 million a year earlier and down 11.3% from the prior quarter.
Analysis
Smartbird (BIRD) Finished Goods (2022 - 2025) Analysis & Trends
Going back to Q4 2022, Smartbird's Finished Goods data covers 10 quarters.
- Finished Goods has declined in each of the last three years, with a three-year compound annual growth rate of -31.3% (FY2022 to FY2025).
- Going back by year, Finished Goods was $47.74 million in FY2024 (-25.7%), $64.28 million in FY2023 (-48.6%) and $125.07 million in FY2022.
- The Q4 2025 figure represents the lowest quarterly Finished Goods in data going back to Q4 2022.
- Year-over-year, Finished Goods has declined for five consecutive quarters, with an average decline of 22.9% over the last five quarters.
- Business Quant data shows BIRD's Finished Goods at $45.7 million (Q3 2025), $46.29 million (Q2 2025) and $46.33 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.44 Bn | 21.65 Bn | 4.80 Bn |
| 2 | Tapestry | 23.45 Bn | 19.41 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.73 Bn | 14.82 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.16 Bn | 5.03 Bn | - |
| 5 | Lululemon Athletica | 10.85 Bn | 5.11 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.07 Bn | 4.65 Bn | 1.07 Bn |
| 7 | V F | 6.67 Bn | 3.29 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.41 Bn | 5.33 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn |
| 10 | Smartbird | 22.00 Mn | -80.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 40.53 Mn |
| Sep 30, 2025 | 45.70 Mn |
| Jun 30, 2025 | 46.29 Mn |
| Mar 31, 2025 | 46.33 Mn |
| Dec 31, 2024 | 47.74 Mn |
| Sep 30, 2024 | 60.43 Mn |
| Jun 30, 2024 | 57.56 Mn |
| Mar 31, 2024 | 65.92 Mn |
| Dec 31, 2023 | 64.28 Mn |
| Dec 31, 2022 | 125.07 Mn |
API Access
Smartbird Finished Goods 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=finished-goods&ticker=BIRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();