Smartbird (BIRD) Operating Expenses (2020 - 2026)
Smartbird (BIRD) posted Operating Expenses of $13.45 million for Q2 2026, up 165.9% from $5.06 million a year earlier but down 52.3% from the prior quarter.
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Analysis
Smartbird (BIRD) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Smartbird was $114.27 million, down 9.6% year-over-year; for FY2025, it was $142.51 million, down 20.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, Smartbird's Operating Expenses was $178.62 million in FY2024 (-30.6%), $257.24 million in FY2023 (+11.9%), $229.91 million in FY2022 (+28.1%) and $179.54 million in FY2021 (+26.5%).
- Quarterly Operating Expenses has run from a low of $5.06 million in Q2 2025 to a high of $85.01 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 9.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 165.9%; the weakest was Q2 2025, with a decline of 89.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $28.22 million (Q1 2026), $38.48 million (Q4 2025) and $34.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Smartbird | 27.63 Mn | -74.54 Mn | - | 13.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.45 Mn |
| Mar 31, 2026 | 28.22 Mn |
| Dec 31, 2025 | 38.48 Mn |
| Sep 30, 2025 | 34.13 Mn |
| Jun 30, 2025 | 5.06 Mn |
| Mar 31, 2025 | 37.23 Mn |
| Dec 31, 2024 | 43.25 Mn |
| Sep 30, 2024 | 40.86 Mn |
| Jun 30, 2024 | 46.25 Mn |
| Mar 31, 2024 | 48.27 Mn |
| Dec 31, 2023 | 85.01 Mn |
| Sep 30, 2023 | 54.96 Mn |
| Jun 30, 2023 | 59.77 Mn |
| Mar 31, 2023 | 57.50 Mn |
| Dec 31, 2022 | 61.77 Mn |
| Sep 30, 2022 | 58.05 Mn |
| Jun 30, 2022 | 57.52 Mn |
| Mar 31, 2022 | 52.58 Mn |
| Dec 31, 2021 | 55.18 Mn |
| Sep 30, 2021 | 45.81 Mn |
API Access
Smartbird Operating 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=operating-expenses&ticker=BIRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();