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dLocal这家公司，业务覆盖多少个国家？

Created on: August 27, 2025

Answered using GPT-5 Thinking by Chat01

Question

dLocal这家公司，业务覆盖多少个国家？

Thought

Counting dLocal's countries

I’m manually counting the countries listed: From Argentina to Zimbabwe. The countries span multiple rows, and I've started counting from lines L18-L25. So far, I’ve reached 19 countries from the first three lines. I’ll keep counting through the rest to get a final total.

Final count of dLocal's coverage

After counting, the total comes to 52 countries covered by dLocal. The page is up to date for 2025, so I’ll go with that exact number. The corporate press release mentions “more than 40 countries," but since the user asks for an exact count, I'll provide 52 countries based on the document.

Clarifying dLocal's country count

I should cite the official document stating 52 countries listed. However, dLocal's marketing mentions "40+ countries." For accuracy, I'll provide both but highlight the 52 countries from the product documentation. If the user wants, I can share the full country list. I'll confirm if Qatar is mentioned and address potential inconsistencies.

Checking Qatar's coverage

Phone format does include Qatar, suggesting it’s supported for phone-related services. However, I’m unsure if it's recognized in the general country list. I’ll double-check the full table to ensure Qatar is not missed, as the content might be split across different areas or lines on the page.

Thought for 52s

Answer

简短回答：52 个国家。
依据 dLocal 开发者文档当前“Country Reference”页列出的国家清单统计，共 52 个。(docs.dlocal.com)

补充说明：公司在官网/新闻稿中常以“40 多个国家”的说法对外宣传，两种口径并存（营销口径 vs. 开发者清单）。(dlocal.gcs-web.com, dlocal.com)

Question

查询这家公司年报，给出分区域的收入占比

Python

python
total=745974
latam=562183
non=183791
latam_pct=latam/total*100
non_pct=non/total*100
latam_pct, non_pct, latam+non

(75.36227804186206, 24.637721958137952, 745974)

Python

python
vals={'Brazil':151959,'Argentina':85454,'Mexico':149249,'Chile':51166,'LatAm Other':124355,'Nigeria':13310,'Egypt':93951,'Non-LatAm Other':76530}
{k: v/745974*100 for k,v in vals.items()}

{'Brazil': 20.370549107609648,
 'Argentina': 11.45535903396097,
 'Mexico': 20.00726566877666,
 'Chile': 6.85895218868218,
 'LatAm Other': 16.67015204283259,
 'Nigeria': 1.7842444910948638,
 'Egypt': 12.594406775571265,
 'Non-LatAm Other': 10.259070691471821}

Python

python
total23=650351
latam23=492681
non23=157670
latam23/total23*100, non23/total23*100

(75.75616859203723, 24.243831407962777)

Python

python
total22=418925
latam22=345360
non22=73565
latam22/total22*100, non22/total22*100

(82.43957749000418, 17.560422509995824)

Thought

total22=418925 latam22=345360 non22=73565 latam22/total22100, non22/total22100

(82.43957749000418, 17.560422509995824)

Thought for 1m 2s

Answer

下面给出 **dLocal 最新年报（Form 20-F，财年截至 2024-12-31，提交于 2025-04-24）**中的分区域收入占比（按终端用户所在地区统计）：

2024 财年分区域收入占比

区域收入(USD, 千)占比
拉丁美洲（LatAm）562,18375.36%
非拉丁美洲（Non-LatAm）183,79124.64%
合计745,974100%

上述“按区域分解的收入”表格载于 20-F 的“Segment Reporting / Disaggregated Revenue by region”，其中列明 2024 年 LatAm 收入 562,183 千美元、Non-LatAm 收入 183,791 千美元、合计 745,974 千美元。(CompaniesMarketCap)

如果你需要更细一层的国家分布（占总收入比例）：

  • 巴西 20.37%、墨西哥 20.01%、阿根廷 11.46%、智利 6.86%、拉美其他国家 16.67%；
  • 埃及 12.59%、尼日利亚 1.78%、非拉美其他国家 10.26%。
    （均按同一表格中的分国数据计算所得比例。）(CompaniesMarketCap)

另外，年报风险披露部分也给出了区域集中度的口径：拉美收入占比分别为 2024 年 75%、2023 年 76%、2022 年 82%（与上表计算结果一致）。(CompaniesMarketCap)

需要我把 2023、2022 年的区域占比也做成对比图吗？

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