Logitech International (LOGI) Change in Accured Expenses (2009 - 2026)
Logitech International (LOGI) posted Change in Accured Expenses of $6.0 million for Q2 2026, up 108.59% on a QoQ basis from -$70.3 million in Q1 2026, and up 111.64% year-over-year from $2.9 million in Q2 2025.
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Analysis
Logitech International (LOGI) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Logitech International has reported Change in Accured Expenses for 18 years, with the latest figure at $6.0 million in Q2 2026.
- On a quarterly basis, Change in Accured Expenses rose 111.64% year-over-year to $6.0 million in Q2 2026; TTM through Jun 2026 was $107.6 million, a 1363.07% increase from a year earlier, with the FY2026 full-year figure at $49.7 million, up 5810.83% from the prior year.
- Change in Accured Expenses was $6.0 million for Q2 2026 at Logitech International, up from -$70.3 million in the prior quarter.
- The five-year high for Change in Accured Expenses was $118.6 million in Q4 2025, with the low at -$117.8 million in Q1 2025.
- Average Change in Accured Expenses over 5 years is -$6.2 million, with a median of -$16.9 million recorded in 2022.
- The sharpest annual moves came in 2023 and 2025: Change in Accured Expenses soared 506.67% in 2023, then plunged 361.78% in 2025.
- Over 5 years, Change in Accured Expenses stood at $12.1 million in 2022, then jumped by 506.67% to $73.4 million in 2023, then soared by 44.95% to $106.4 million in 2024, then advanced by 11.45% to $118.6 million in 2025, then plunged by 94.91% to $6.0 million in 2026.
- The last three Change in Accured Expenses figures came in at $6.0 million (Q2 2026), -$70.3 million (Q1 2026), and $118.6 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Logitech International | 14.49 Bn | 12.74 Bn | 607.94 Mn | 6.04 Mn |
| 2 | Mynd.ai | 15.25 Mn | 8.21 Mn | - | - |
| 3 | Socket Mobile | 4.30 Mn | 2.70 Mn | 1.41 Mn | -110,623.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.04 Mn |
| Mar 31, 2026 | -70.26 Mn |
| Dec 31, 2025 | 118.56 Mn |
| Sep 30, 2025 | 53.21 Mn |
| Jun 30, 2025 | -51.86 Mn |
| Mar 31, 2025 | -117.82 Mn |
| Dec 31, 2024 | 106.38 Mn |
| Sep 30, 2024 | 54.79 Mn |
| Jun 30, 2024 | -42.51 Mn |
| Mar 31, 2024 | -25.51 Mn |
| Dec 31, 2023 | 73.39 Mn |
| Sep 30, 2023 | 14.48 Mn |
| Jun 30, 2023 | -74.33 Mn |
| Mar 31, 2023 | -68.65 Mn |
| Dec 31, 2022 | 12.10 Mn |
| Sep 30, 2022 | -8.32 Mn |
| Jun 30, 2022 | -63.84 Mn |
| Mar 31, 2022 | -26.63 Mn |
| Dec 31, 2021 | 117.06 Mn |
| Sep 30, 2021 | 26.16 Mn |
API Access
Logitech International Change in Accured 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=change-in-accured-expenses&ticker=LOGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "LOGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=LOGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();