Smartbird (BIRD) Depreciation & Amortization (CF) (2020 - 2026)
Smartbird (BIRD) reported Depreciation & Amortization (CF) of $1.38 million for Q1 2026, down 27.6% from $1.9 million a year earlier and down 40.2% from the prior quarter.
Smartbird (BIRD) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Smartbird's Depreciation & Amortization (CF) came in at $7.49 million, down 20.7% year-over-year; for FY2025, it was $8.02 million, down 35.3% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $12.4 million in FY2024 (-41.0%), $21.01 million in FY2023 (+43.1%), $14.68 million in FY2022 (+52.1%) and $9.65 million in FY2021 (+36.2%).
- The Q1 2026 figure ranks as the lowest quarterly Depreciation & Amortization (CF) in data going back to Q4 2020.
- Year over year, Depreciation & Amortization (CF) gained in 1 of the last eight quarters, with an average decline of 37.0%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q1 2022 (growth of 95.1%); the low point was Q4 2024 (a decline of 63.0%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $2.3 million (Q4 2025), $1.92 million (Q3 2025) and $1.9 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 193.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 45.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 58.90 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 57.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 68.32 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 8.57 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 20.05 Mn |
| 10 | Smartbird | 30.82 Mn | -71.35 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.38 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 1.92 Mn |
| Jun 30, 2025 | 1.90 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 2.17 Mn |
| Sep 30, 2024 | 2.89 Mn |
| Jun 30, 2024 | 2.49 Mn |
| Mar 31, 2024 | 4.85 Mn |
| Dec 31, 2023 | 5.86 Mn |
| Sep 30, 2023 | 5.11 Mn |
| Jun 30, 2023 | 4.96 Mn |
| Mar 31, 2023 | 5.08 Mn |
| Dec 31, 2022 | 3.55 Mn |
| Sep 30, 2022 | 4.06 Mn |
| Jun 30, 2022 | 3.62 Mn |
| Mar 31, 2022 | 3.45 Mn |
| Dec 31, 2021 | 3.12 Mn |
| Sep 30, 2021 | 2.41 Mn |
| Jun 30, 2021 | 2.35 Mn |
Smartbird Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=BIRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();