GoPro (GPRO) Total Liabilities (2013 - 2026)
GoPro (GPRO) recorded Total Liabilities of $427.76 million in Q2 2026, up 25.4% from $341.08 million a year earlier and up 13.2% from the prior quarter.
Powered by 
Analysis
GoPro (GPRO) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, GoPro reported Total Liabilities of $350.59 million, down 10.6% from FY2024.
- Annual Total Liabilities has declined for four straight years, with a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $391.99 million in FY2024 (-4.9%), $412.11 million in FY2023 (-11.4%), $465.37 million in FY2022 (-27.7%) and $643.97 million in FY2021 (+16.0%).
- Quarterly Total Liabilities has ranged from $341.08 million in Q2 2025 to $643.97 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Liabilities rose in three of the last eight quarters, with growth averaging 0.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 25.4% in Q2 2026, against a decline of 27.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $377.86 million (Q1 2026), $350.59 million (Q4 2025) and $464.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | 3.13 Bn |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | 3.11 Bn |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 8.56 Bn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | 1.04 Bn |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | 13.24 Bn |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | 478.59 Mn |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | 251.19 Mn |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | 2.65 Bn |
| 10 | GoPro | 148.14 Mn | 120.88 Mn | 31.66 Mn | 427.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 427.76 Mn |
| Mar 31, 2026 | 377.86 Mn |
| Dec 31, 2025 | 350.59 Mn |
| Sep 30, 2025 | 464.28 Mn |
| Jun 30, 2025 | 341.08 Mn |
| Mar 31, 2025 | 352.53 Mn |
| Dec 31, 2024 | 391.99 Mn |
| Sep 30, 2024 | 477.66 Mn |
| Jun 30, 2024 | 372.08 Mn |
| Mar 31, 2024 | 350.84 Mn |
| Dec 31, 2023 | 412.11 Mn |
| Sep 30, 2023 | 486.56 Mn |
| Jun 30, 2023 | 445.62 Mn |
| Mar 31, 2023 | 437.42 Mn |
| Dec 31, 2022 | 465.37 Mn |
| Sep 30, 2022 | 486.98 Mn |
| Jun 30, 2022 | 451.56 Mn |
| Mar 31, 2022 | 553.16 Mn |
| Dec 31, 2021 | 643.97 Mn |
| Sep 30, 2021 | 563.25 Mn |
API Access
GoPro 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=GPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GPRO", "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=GPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();