Smartbird (BIRD) Inventory (2020 - 2026)
Smartbird (BIRD) reported Inventory of $37.2 million for Q1 2026, down 13.2% from $42.87 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Smartbird (BIRD) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2025, Smartbird posted Inventory of $38.88 million, down 11.9% from FY2024.
- Inventory has declined for three consecutive years, with a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- By year, Inventory came in at $44.12 million in FY2024 (-23.6%), $57.76 million in FY2023 (-50.5%), $116.8 million in FY2022 (+9.3%) and $106.88 million in FY2021 (+80.5%).
- The Q1 2026 figure ranks as the lowest quarterly Inventory in data going back to Q4 2020.
- Year over year, Inventory has now declined in each of the last 13 quarters, with an average decline of 24.3% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q4 2021 (growth of 80.5%); the low point was Q4 2023 (a decline of 50.5%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $38.88 million (Q4 2025), $43.13 million (Q3 2025) and $42.24 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Smartbird | 27.63 Mn | -74.54 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 37.20 Mn |
| Dec 31, 2025 | 38.88 Mn |
| Sep 30, 2025 | 43.13 Mn |
| Jun 30, 2025 | 42.24 Mn |
| Mar 31, 2025 | 42.87 Mn |
| Dec 31, 2024 | 44.12 Mn |
| Sep 30, 2024 | 57.46 Mn |
| Jun 30, 2024 | 53.67 Mn |
| Mar 31, 2024 | 60.62 Mn |
| Dec 31, 2023 | 57.76 Mn |
| Sep 30, 2023 | 79.93 Mn |
| Jun 30, 2023 | 92.85 Mn |
| Mar 31, 2023 | 109.49 Mn |
| Dec 31, 2022 | 116.80 Mn |
| Sep 30, 2022 | 126.47 Mn |
| Jun 30, 2022 | 122.30 Mn |
| Mar 31, 2022 | 118.47 Mn |
| Dec 31, 2021 | 106.88 Mn |
| Sep 30, 2021 | 99.34 Mn |
| Dec 31, 2020 | 59.22 Mn |
API Access
Smartbird Inventory 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=inventory&ticker=BIRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();