Jumia Technologies AG (JMIA) Total Liabilities (2018 - 2026)
Jumia Technologies AG (JMIA) recorded Total Liabilities of $107.79 million in Q2 2026, up 0.1% from $107.72 million a year earlier and up 8.4% from the prior quarter.
Jumia Technologies AG (JMIA) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Jumia Technologies AG reported Total Liabilities of $107.82 million, up 1.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $105.79 million in FY2024 (-12.7%), $121.22 million in FY2023 (-22.3%), $155.97 million in FY2022 (-5.8%) and $165.53 million in FY2021 (+10.0%).
- Quarterly Total Liabilities has ranged from $99.44 million in Q1 2026 to $170.09 million in Q2 2022 over the past five years.
- On a year-over-year basis, Total Liabilities rose in two of the last eight quarters, with an average decline of 6.8%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 13.3% in Q3 2021, against a decline of 25.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $99.44 million (Q1 2026), $107.82 million (Q4 2025) and $109.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Jumia Technologies AG | 831.05 Mn | 559.32 Mn | 30.73 Mn | 107.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.79 Mn |
| Mar 31, 2026 | 99.44 Mn |
| Dec 31, 2025 | 107.82 Mn |
| Sep 30, 2025 | 109.32 Mn |
| Jun 30, 2025 | 107.72 Mn |
| Mar 31, 2025 | 106.44 Mn |
| Dec 31, 2024 | 105.79 Mn |
| Sep 30, 2024 | 119.89 Mn |
| Jun 30, 2024 | 123.89 Mn |
| Mar 31, 2024 | 116.53 Mn |
| Dec 31, 2023 | 121.22 Mn |
| Sep 30, 2023 | 128.83 Mn |
| Jun 30, 2023 | 143.11 Mn |
| Mar 31, 2023 | 157.31 Mn |
| Dec 31, 2022 | 155.97 Mn |
| Sep 30, 2022 | 140.51 Mn |
| Jun 30, 2022 | 170.09 Mn |
| Mar 31, 2022 | 159.56 Mn |
| Dec 31, 2021 | 165.53 Mn |
| Sep 30, 2021 | 155.53 Mn |
Jumia Technologies AG 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=JMIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "JMIA", "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=JMIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();