Smartbird (BIRD) Total Liabilities (2020 - 2026)
Smartbird (BIRD) recorded Total Liabilities of $23.59 million in Q2 2026, down 64.0% from $65.46 million a year earlier and down 65.5% from the prior quarter.
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Analysis
Smartbird (BIRD) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Smartbird reported Total Liabilities of $73.51 million, down 15.7% from FY2024.
- Annual Total Liabilities has declined for three straight years, with a five-year compound annual growth rate of -22.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $87.19 million in FY2024 (-31.5%), $127.38 million in FY2023 (-12.5%), $145.6 million in FY2022 (+59.3%) and $91.43 million in FY2021 (-66.1%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 30.2%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 99.2% in Q1 2023, against a decline of 72.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $68.45 million (Q1 2026), $73.51 million (Q4 2025) and $67.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Smartbird | 30.82 Mn | -71.35 Mn | - | 23.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.59 Mn |
| Mar 31, 2026 | 68.45 Mn |
| Dec 31, 2025 | 73.51 Mn |
| Sep 30, 2025 | 67.98 Mn |
| Jun 30, 2025 | 65.46 Mn |
| Mar 31, 2025 | 64.44 Mn |
| Dec 31, 2024 | 87.19 Mn |
| Sep 30, 2024 | 94.57 Mn |
| Jun 30, 2024 | 95.49 Mn |
| Mar 31, 2024 | 112.10 Mn |
| Dec 31, 2023 | 127.38 Mn |
| Sep 30, 2023 | 143.67 Mn |
| Jun 30, 2023 | 141.97 Mn |
| Mar 31, 2023 | 141.52 Mn |
| Dec 31, 2022 | 145.60 Mn |
| Sep 30, 2022 | 81.19 Mn |
| Jun 30, 2022 | 74.21 Mn |
| Mar 31, 2022 | 71.06 Mn |
| Dec 31, 2021 | 91.43 Mn |
| Sep 30, 2021 | 299.03 Mn |
API Access
Smartbird Total Liabilities 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=total-liabilities&ticker=BIRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();