Smartbird (BIRD) Accumulated Expenses (2020 - 2026)
Smartbird's Accumulated Expenses came in at $7.86 million for Q2 2026, down 42.2% from $13.6 million a year earlier and down 24.3% from the prior quarter.
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Analysis
Smartbird (BIRD) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Smartbird's Accumulated Expenses was $1.23 million, down 93.4% from FY2024.
- Accumulated Expenses has declined in each of the last four years, with a five-year compound annual growth rate of -47.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $18.82 million in FY2024 (-18.1%), $22.99 million in FY2023 (-2.0%), $23.45 million in FY2022 (-49.3%) and $46.24 million in FY2021 (+46.8%).
- The five-year range for quarterly Accumulated Expenses is $1.23 million (Q4 2025) to $46.24 million (Q4 2021).
- Year-over-year, Accumulated Expenses has declined for 15 consecutive quarters, with an average decline of 30.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 46.8%), and the weakest in Q4 2025 (a decline of 93.4%).
- Business Quant data shows BIRD's Accumulated Expenses at $10.39 million (Q1 2026), $1.23 million (Q4 2025) and $11.48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | Smartbird | 30.82 Mn | -71.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.86 Mn |
| Mar 31, 2026 | 10.39 Mn |
| Dec 31, 2025 | 1.23 Mn |
| Sep 30, 2025 | 11.48 Mn |
| Jun 30, 2025 | 13.60 Mn |
| Mar 31, 2025 | 13.64 Mn |
| Dec 31, 2024 | 18.82 Mn |
| Sep 30, 2024 | 13.31 Mn |
| Jun 30, 2024 | 15.28 Mn |
| Mar 31, 2024 | 15.30 Mn |
| Dec 31, 2023 | 22.99 Mn |
| Sep 30, 2023 | 20.15 Mn |
| Jun 30, 2023 | 17.33 Mn |
| Mar 31, 2023 | 20.39 Mn |
| Dec 31, 2022 | 23.45 Mn |
| Sep 30, 2022 | 42.35 Mn |
| Jun 30, 2022 | 40.16 Mn |
| Mar 31, 2022 | 37.95 Mn |
| Dec 31, 2021 | 46.24 Mn |
| Sep 30, 2021 | 37.03 Mn |
API Access
Smartbird Accumulated Expenses 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=accumulated-expenses&ticker=BIRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();