Turtle Beach (TBCH) Inventory (2010 - 2026)
Turtle Beach (TBCH) reported Inventory of $56.54 million for Q2 2026, down 26.4% from $76.81 million a year earlier and down 12.1% from the prior quarter.
Turtle Beach (TBCH) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Turtle Beach posted Inventory of $69.22 million, down 2.8% from FY2024.
- Inventory has a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By year, Inventory came in at $71.25 million in FY2024 (+61.9%), $44.02 million in FY2023 (-38.2%), $71.25 million in FY2022 (-30.1%) and $101.93 million in FY2021 (+43.0%).
- The Q2 2026 figure ranks as the lowest quarterly Inventory since Q4 2023.
- Year over year, Inventory has now declined in each of the last four quarters, with growth averaging 7.2% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q1 2022 (growth of 98.6%); the low point was Q1 2023 (a decline of 44.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $64.32 million (Q1 2026), $69.22 million (Q4 2025) and $94.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | 1.43 Bn |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | 649.80 Mn |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | 507.50 Mn |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 1.60 Bn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | 353.53 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | 2.28 Bn |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | 158.14 Mn |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | 146.91 Mn |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | 514.70 Mn |
| 10 | Turtle Beach | 272.21 Mn | 212.17 Mn | 29.59 Mn | 79.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.78 Mn |
| Jun 30, 2026 | 56.54 Mn |
| Mar 31, 2026 | 64.32 Mn |
| Dec 31, 2025 | 69.22 Mn |
| Sep 30, 2025 | 94.96 Mn |
| Jun 30, 2025 | 76.81 Mn |
| Mar 31, 2025 | 73.66 Mn |
| Dec 31, 2024 | 71.25 Mn |
| Sep 30, 2024 | 102.26 Mn |
| Jun 30, 2024 | 73.35 Mn |
| Mar 31, 2024 | 69.53 Mn |
| Dec 31, 2023 | 44.02 Mn |
| Sep 30, 2023 | 76.02 Mn |
| Jun 30, 2023 | 67.83 Mn |
| Mar 31, 2023 | 65.21 Mn |
| Dec 31, 2022 | 71.25 Mn |
| Sep 30, 2022 | 118.44 Mn |
| Jun 30, 2022 | 120.69 Mn |
| Mar 31, 2022 | 117.42 Mn |
| Dec 31, 2021 | 101.93 Mn |
Turtle Beach 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=TBCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "TBCH", "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=TBCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();